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Una revisi=C3=B3n integrativa sistematizadaGenerative artificial intelligence and academic writ= ing: ethical challenges, authorship, and scientific integrity in higher edu= cation. A systematized integrative review <table sty= le=3D"width:396.3pt; margin-right:auto; margin-left:auto; padding:0pt; bord= er-collapse:collapse"><tr><td style=3D"width:3.25pt; border:0.75pt solid #0= 00000; padding:0pt 5.03pt; vertical-align:top">1</td><td style=3D"width:17= 1.95pt; border:0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:top= ">Mariano Fabrizio J=C3=A1come Viera</td><td= style=3D"width:10.5pt; border:0.75pt solid #000000; padding:0pt 5.03pt; ve= rtical-align:top"><img src=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAY= AAACNiR0NAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAA2pJREFUOI2tlE= toXVUUhr+197n3nNzbJN6omdTWRmwbikVq4iMxk0ZU2oGgA1FnQcQiUhUnFqo4cGIRQUGd+KDY+= Jp25ouiGCOxElqjhba0URPzsPQmuY9zzj1nLwcnuU1qQif+mzXZe69/rX/tny2sgy9+7mknn99q= rL1TVHcnqu3GyoKxTEhDxpIwuPho79cL6+XKGqKJXXlJS/flCvJUGmu/c9opRpp31KkakXmxjLp= E3p/+Y+bLg/vPRRsSfj7e/6JftIfr1cZ16v5znCVIFsW2XLleTd648Z/863v3nkjWEL59dp/fWS= 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ion:absolute" /> </td><td style=3D"width:166.3= 5pt; border:0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:top"><= p style=3D"line-height:115%; font-size:11pt"><a href=3D"https://orcid.org/0= 009-0008-3721-7461" style=3D"text-decoration:none">https://orcid.org/0009-0008-37= 21-7461</a></td><td style=3D"border-bottom:0.75pt solid #000000;= padding:0pt; vertical-align:top"></td></tr><tr><td style=3D"width:3.25pt; = border:0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:top"> </td><td = colspan=3D"4" style=3D"width:370.7pt; border:0.75pt solid #000000; padding:= 0pt 5.03pt; vertical-align:top">Univers= idad Estatal Amaz=C3=B3nica (UEA), Puyo, Ecuador.<a href=3D"mailto:mf.jacomev@uea.edu.ec" style=3D"text-decor= ation:none">mf.jacomev@uea.edu.ec</a></td></tr><tr><td style=3D"width:= 3.25pt; border:0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:top= ">2= </td><td style=3D"width:171.95pt; border:0.75pt solid #000000; padding:= 0pt 5.03pt; vertical-align:top">Gabriela Natalia Carrer= a Mora</td><td style=3D"width:10.5pt; border:0.75pt solid #00000= 0; padding:0pt 5.03pt; vertical-align:top"><img src=3D"data:image/png;base64,iVBORw0KGg= oAAAANSUhEUgAAABQAAAAUCAYAAACNiR0NAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAAD= sQBlSsOGwAAA2pJREFUOI2tlEtoXVUUhr+197n3nNzbJN6omdTWRmwbikVq4iMxk0ZU2oGgA1Fn= QcQiUhUnFqo4cGIRQUGd+KDY+Jp25ouiGCOxElqjhba0URPzsPQmuY9zzj1nLwcnuU1qQif+mzX= Ze69/rX/tny2sgy9+7mknn99qrL1TVHcnqu3GyoKxTEhDxpIwuPho79cL6+XKGqKJXXlJS/flCv= JUGmu/c9opRpp31KkakXmxjLpE3p/+Y+bLg/vPRRsSfj7e/6JftIfr1cZ16v5znCVIFsW2XLleT= d648Z/863v3nkjWEL59dp/fWSsfzOXNkShKacvfgnMRlXhqXdIVYt83SRS5Q4tp/NbTvScbAAbg= hkp5nx/Yl+PQoamj96YX6O58HAX0qtWUrxDF6rUUvddaJfdws9DwqYFSa0GO1SrpfucUVUXEZEk= 4UheywqMoqgmebcFIHlBEICjYnzR0Dz1y+8icl3Pp9jCUAdUsy9Ggb+srLEVTnJk9xv07j2JNjl= QboEqtMcfk5a/4a+H7rIoTVNkZJu5u4LiHYVCQthVC1FH0N5O6GEToKHQzPv0O04sjWPHpKHRzx= +bnaA+2MTFzFMTSiF17LvB6gOOeIj1mzdwF1RTFNWXX4jkWw0mMeMxXT1GN/+aemw8zeflbKvEU= 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tical-align:top"></td></tr><tr><td style=3D"width:3.25pt; border:0.75pt sol= id #000000; padding:0pt 5.03pt; vertical-align:top"> </td><td colspan=3D"4" sty= le=3D"width:370.7pt; border:0.75pt solid #000000; padding:0pt 5.03pt; verti= cal-align:top">Universidad Estatal Amaz= =C3=B3nica (UEA), Puyo, Ecuador.<a= href=3D"mailto:gn.carreram@uea.edu.ec" style=3D"text-decoration:none"><spa= n class=3D"Hyperlink" style=3D"line-height:115%; font-size:10pt">gn.carrera= m@uea.edu.ec</a></td></tr><tr><td style=3D"width:3.25pt; border:= 0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:top">3</td><td st= yle=3D"width:171.95pt; border:0.75pt solid #000000; padding:0pt 5.03pt; ver= tical-align:top">Erika Mar=C3=ADa Reinoso Naranjo</span= ></td><td style=3D"width:10.5pt; border:0.75pt solid #000000; padding:0= pt 5.03pt; vertical-align:top"><img src=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUg= AAABQAAAAUCAYAAACNiR0NAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAA= 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ailto:em.reinoson@uea.edu.ec" style=3D"text-decoration:none">em.reinoson@uea.edu.= ec</a></td></tr><tr style=3D"height:0pt"><td style=3D"width:14.0= 5pt"></td><td style=3D"width:182.75pt"></td><td style=3D"width:21.3pt"></td= ><td style=3D"width:177.15pt"></td><td style=3D"width:0.3pt"></td></tr></ta= ble> <table style=3D"width:436.35pt; margin-left:0.2= 5pt; padding:0pt; border-collapse:collapse"><tr><td colspan=3D"3" style=3D"= width:156.4pt; padding:0pt 5.4pt; vertical-align:top"><a id=3D"_Hlk92186133"> </span= ></a><s= pan> </td><td colspan=3D"2" style=3D"width:258.35pt; border= -top:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">Ar= t=C3=ADculo de Investigaci=C3=B3n Cient=C3=ADfica y Tecnol=C3=B3gica= Enviado: <= /p>Revisado: <= /p>Aceptado: <= /p>Publicado:<= /p>DOI: </td></tr><tr style=3D"height:6.= 55pt"><td colspan=3D"3" style=3D"width:156.4pt; padding:0pt 5.4pt; vertical= -align:top">&#= xa0; </td><td colspan=3D"2" style=3D"width:258.35pt; border-bo= ttom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">&#= xa0;</td></tr><tr><td style=3D"width:37.8pt; padding:0pt 5.4pt; = vertical-align:top"> C=C3=ADtese: </td><td style=3D"width:1.55= pt; padding:0pt 5.4pt; vertical-align:top"> </= span></td><td colspan=3D"2" style=3D"width:358.55pt; border-bottom:0.75= pt solid #000000; padding:0pt 5.4pt; vertical-align:top"> DATOS REVISTADATOS REVISTADATOS REVISTA</t= d><td style=3D"border-top:0.75pt solid #000000; padding:0pt; vertical-align= :top"></td></tr><tr style=3D"height:0pt"><td style=3D"width:48.6pt"></td><t= d style=3D"width:12.35pt"></td><td style=3D"width:106.25pt"></td><td style= =3D"width:263.1pt"></td><td style=3D"width:6.05pt"></td></tr></table> <img src= =3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAjcAAACMCAYAAACAuogxAAAAB= HNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAIABJREFUeJzsvXd4VFX++P+6M5PM= JJNeCYHQa0LogkgHlyIgVRBBAVGWIEXFL+qigooCugqiiIgi0nsg1IRmIKRA+iST3kjvk2RSZ+b= 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4v1sIveN/X4fJg4d/hVuWuRkzZgybN2/+zUZbtVqNwceARqNBpVLhdEpYzGbqTSYaTKY/1KTr5+= fH4MGDMRgM1NbWkpGRgdPppG/fvjdV6G1EqVTStWtXKisr0ev1tGnThrS0NJKSkggPD2f//v1kZ= mbeVNlVq9Vyxx13EBERQUFBAUqlkqKiImpraxkwYAArV668LjCSy+XMmzfvTyvpevDgwYMHDx7+= NW5JcGM0GnnyySevrpa6yYb+xAqjP0vjvL9eYv7r7f/yf3/98++N5xfHcKPjuNlYhULBm2++ycS= JE3/nKDx48ODBgwcPt4JbEtw4nU7Ky8uxWCw339BfGNzcKv6KfZTJZAQEBKDT6dwNnB48ePDgwY= OHv45bEtx48ODBgwcPHjz8p+BJJXjw4MGDBw8e/qvwBDcePHjw4MGDh/8q/tRS8JycHLcLtwcPH= jx48ODBw/8LNBoNLVu2vOn7fyq4+e67726owuvBgwcPHjx48PB3ER4ezpQpU276vqeh2IMHDx48= ePDwX4Wn58aDBw8ePHjw8F+FJ7jx4MGDBw8ePPxX4QluPHjw4MGDBw//VfxfkrKy3GCTp2MAAAA= ASUVORK5CYII=3D" width=3D"567" height=3D"140" alt=3D"" /><table style= =3D"width:100%; border:0.75pt solid #999999; padding:0pt; border-collapse:c= ollapse"><tr><td style=3D"width:25%; border-right:0.75pt solid #000000; bor= der-bottom:0.75pt solid #000000; padding:0pt 0.12pt; vertical-align:top"><p= style=3D"line-height:115%; font-size:12pt">Palabras clave:<= span>Inteligencia artificial; escritura acad=C3=A9mica; integridad acad=C3= =A9mica; =C3= =A9tica de la investigaci=C3=B3n; educaci=C3=B3n superior.</td><= td style=3D"width:75%; border-left:0.75pt solid #000000; border-bottom:0.75= pt solid #000000; padding:0pt 0.12pt; vertical-align:top">Resumen</span= ><spa= n style=3D"font-weight:bold">Introducci=C3=B3n: la inteligenci= a artificial generativa est=C3=A1 transformando la escritura acad=C3=A9mica= en la educaci=C3=B3n superior al facilitar la organizaci=C3=B3n de ideas, = la s=C3=ADntesis documental y la revisi=C3=B3n ling=C3=BC=C3=ADstica, pero = tambi=C3=A9n introduce riesgos relevantes para la autor=C3=ADa, la transpar= encia y la integridad cient=C3=ADfica, que exigen un an=C3=A1lisis sistem= =C3=A1tico y actualizado. Objetivo:= analizar los aportes, los desaf=C3=ADos =C3=A9ticos y los lin= eamientos internacionales asociados con su uso en la producci=C3=B3n acad= =C3=A9mica universitaria. Metodolog= =C3=ADa: se desarroll=C3=B3 una revisi=C3=B3n integrativa sist= ematizada, de enfoque cualitativo y alcance descriptivo-anal=C3=ADtico, med= iante b=C3=BAsquedas en bases de datos cient=C3=ADficas multidisciplinarias= y la consulta de documentos oficiales publicados principalmente entre 2022= y 2026. La selecci=C3=B3n de fuentes se orient=C3=B3 por criterios expl=C3= =ADcitos de pertinencia, calidad metodol=C3=B3gica y actualidad; la informa= ci=C3=B3n se organiz=C3=B3 en una matriz de extracci=C3=B3n y se examin=C3= =B3 mediante an=C3=A1lisis tem=C3=A1tico y comparaci=C3=B3n cr=C3=ADtica en= tre evidencia emp=C3=ADrica y lineamientos normativos. Resultados: los resultados evidenciaron = beneficios en productividad, apoyo a la escritura y acceso al conocimiento,= junto con riesgos de alucinaciones, referencias inexistentes, dependencia = tecnol=C3=B3gica, plagio y opacidad en la atribuci=C3=B3n de contribuciones= . Existe consenso en que la inteligencia artificial no puede asumir autor= =C3=ADa y que su empleo debe declararse expl=C3=ADcitamente y permanecer ba= jo supervisi=C3=B3n humana. Conclus= i=C3=B3n: su integraci=C3=B3n responsable exige alfabetizaci= =C3=B3n en inteligencia artificial, verificaci=C3=B3n rigurosa de fuentes, = evaluaci=C3=B3n centrada en procesos formativos y pol=C3=ADticas institucio= nales claras y actualizables. =C3= =81rea de estudio general: Educaci=C3=B3n. =C3=81rea de estudio espec=C3=ADfica: Ed= ucaci=C3=B3n superior. Tipo de estu= dio: Revisi=C3=B3n bibliogr=C3=A1fica sistem=C3=A1tica (revisi= =C3=B3n integrativa sistematizada)</td></tr><tr><td style=3D"bor= der-top:0.75pt solid #000000; border-right:0.75pt solid #000000; padding:0p= t 0.12pt; vertical-align:top">Keywords:Artificial intelligence; academic writing; a= cademic integrity; research ethics; higher education.</td><td st= yle=3D"border-top:0.75pt solid #000000; border-left:0.75pt solid #000000; p= adding:0pt 0.12pt; vertical-align:top">AbstractIntroduction: generative artificial intelligence is= transforming academic writing into higher education by facilitating idea o= rganization, document synthesis, and language revision; however, it also in= troduces risks to authorship, transparency, and scientific integrity. </spa= n>Objective: to analyze the c= ontributions, ethical challenges, and international guidelines associated w= ith its use in university academic production. Methodology: a systematized integrative review wit= h a descriptive-analytical scope was conducted through searches in scientif= ic databases and consultation of official documents published between 2022 = and 2026. Selection was guided by explicit criteria of relevance, quality, = and currency; information was organized in an extraction matrix and examine= d through thematic analysis and critical comparison. Results: the results identified benefits for= productivity, writing support, and access to knowledge, together with risk= s involving hallucinations, non-existent references, technological dependen= ce, plagiarism, and opaque attribution. There is broad agreement that artif= icial intelligence cannot qualify as an author and that its use must be dis= closed and remain under human supervision. Conclusion: responsible integration requires artificia= l intelligence literacy, rigorous source verification, process-oriented ass= essment, and clear institutional policies. General Area of Study: Education. Specific area of study: Higher education= . Type of study: Syste= matic literature review (systematized integrative review)</td></= tr></table>1. &#= xa0; Introducci=C3=B3n<= /span>La inteligencia art= ificial generativa (IAG) constituye uno de los avances tecnol= =C3=B3gicos m=C3=A1s disruptivos de las =C3=BAltimas d=C3=A9cadas, al trans= formar la manera en que las personas producen, procesan y comunican informa= ci=C3=B3n. Los modelos fundacionales y los grandes modelos de lenguaje perm= iten generar textos, sintetizar documentos, traducir, programar y apoyar ta= reas de investigaci=C3=B3n, lo que ha modificado los procesos de ense=C3=B1= anza, aprendizaje y comunicaci=C3=B3n cient=C3=ADfica (Bommasani et al., 20= 21; Kasneci et al., 2023). Estas posibilidades incrementan la productividad= acad=C3=A9mica, pero plantean desaf=C3=ADos relacionados con la exactitud,= la transparencia, la autor=C3=ADa intelectual y la responsabilidad sobre e= l contenido generado. Est= e proceso se inscribe en una trayectoria previa de incorporaci=C3=B3n de la= inteligencia artificial en la educaci=C3=B3n superior (Zawacki-Richter et = al., 2019). La Figura 1 <spa= n>muestra la s=C3=ADntesis organiza los principales aportes, riesgos y salv= aguardas vinculados con una escritura acad=C3=A9mica responsable.</p= >Figura 1IA generativa y escritura acad=C3=A9mica<img src= =3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAdIAAAEYCAYAAADoE3fkAAAAB= HNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAIABJREFUeJzsnXdgHMX1+D+7t3cn= 6dR7sSSrWZJ77xXbuIDBQAKBQCAhCSG994SEJN8kpBIgIYQQIOBQTTG49y53W7Jsy7JkWb1L18v= uzu+PPZ0lS6bE4Zfi+/xj625v9u3M7Lx5b97Mk4QQgjBhwoQJEybMP4X87xYgTJgwYcKE+W8mrE= jDhAkTJkyYKyCsSMOECRMmTJgrIKxIw4QJEyZMmCsgrEjDhAkTJkyYKyCsSMOECRMmTJgrIKxIw= 4QJEyZMmCsgrEjDhAkTJkyYKyCsSMOECRMmTJgrIKxIw4QJEyZMmCsgrEjDhAkTJkyYK0D5dwsQ= JkyYMGEGIgBd10GALEtIkvTvFinMO3BVKFIhBKGj+SWQL9MpB1wHSBLhDvwBo6oamq4DxoBhVq6= KLvlvRdd1VE03BmokrBYl3M8/YHQh0DQdTdMAMJsVTPLQDkFdF/TYnbyxuQyLorB4zgRSk+L+tf= LoAk3X0DTj3bOYzchyuA/8s1wVo1aP3UVNfQtCF8iyzPiReciXdGIhBNXnm+l1uCA4qOflpBMfY= wsPMv8kQoAu9NDLajLJyJJM/+pcu/0Qf3p+HUIIli+YzBfuXkG4tj9Y/AGNu7/+O7p6nciyxNq/= 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RU5ErkJggg=3D=3D" width=3D"466" height=3D"280" alt=3D"" />Nota:</s= pan> relaci=C3=B3n existente entre la IA generativa y la escritura ac= ad=C3=A9mica; esto a modo de resumen gr=C3=A1fico del presente documento. <= /span>Fuente: elaborado en ba= se a la revisi=C3=B3n documental (Bommasani et al., 2021; Kasneci et al., 2= 023; Dwivedi et al., 2023). Este fen=C3=B3meno no = puede comprenderse como un simple cambio instrumental, sino como una reconf= iguraci=C3=B3n m=C3=A1s amplia de las pr=C3=A1cticas de producci=C3=B3n de = conocimiento. La rapidez con que estas herramientas se han integrado en con= textos acad=C3=A9micos, editoriales y profesionales ha superado, en muchos = casos, la capacidad de las instituciones para establecer criterios normativ= os claros, lo que genera zonas de incertidumbre respecto de su uso leg=C3= =ADtimo.En el =C3=A1mbito universitario, la escritura acad=C3=A9mic= a es una competencia transversal para construir argumentos fundamentados, c= omunicar resultados de investigaci=C3=B3n y participar en la producci=C3=B3= n de conocimiento. Su calidad depende no solo del dominio ling=C3=BC=C3=ADs= tico y metodol=C3=B3gico, sino tambi=C3=A9n de procesos cognitivos vinculad= os con el pensamiento cr=C3=ADtico, la evaluaci=C3=B3n de evidencias, la to= ma de decisiones y la reflexi=C3=B3n =C3=A9tica (Hyland, 2019). Por ello, l= a incorporaci=C3=B3n de herramientas generativas no puede evaluarse =C3=BAn= icamente desde la eficiencia t=C3=A9cnica, sino desde su efecto sobre el ap= rendizaje, la autonom=C3=ADa intelectual y la formaci=C3=B3n investigativa.= Las instituciones de educaci=C3=B3n superior han debido revisar sus= pol=C3=ADticas y estrategias formativas ante la r=C3=A1pida adopci=C3=B3n = de estas herramientas. La UNESCO propone un enfoque centrado en el ser huma= no, basado en protecci=C3=B3n de datos, equidad, supervisi=C3=B3n humana, t= ransparencia y desarrollo de capacidades; de manera complementaria (= <a href=3D"https://unesdoc.unesco.org/query?q=3DAutor:%20%22Miao,%20Fengchu= n%22&sf=3Dsf:*&queryDisplay=3DPersona%20autor%3A%20%22Miao%2C%20Fen= gchun%20%5Bauthor%5D%22" style=3D"text-decoration:none">Miao</a> = & <a href=3D"https://unesdoc.unesco.org/query?q=3DAutor:%20%22Ho= lmes,%20Wayne%22&sf=3Dsf:*&queryDisplay=3DPersona%20autor%3A%20%22H= olmes%2C%20Wayne%20%5Bauthor%5D%22" style=3D"text-decoration:none">Holmes</spa= n></a>, 2023), la Organisati= on for Economic Co-operation and Development (OECD, 2026) dest= aca que la IAG debe actuar como apoyo al aprendizaje y no como sustituto de= l esfuerzo cognitivo.<span= style=3D"font-style:italic">1.1. Antecedentes y estado actual del conocimientoLa literatura s= e=C3=B1ala que la IAG puede contribuir a la planificaci=C3=B3n, organizaci= =C3=B3n y revisi=C3=B3n de textos, a la generaci=C3=B3n de alternativas exp= resivas, a la traducci=C3=B3n especializada y a la retroalimentaci=C3=B3n d= urante la escritura, siempre que el usuario conserve el control intelectual= del proceso (Dwivedi et al., 2023; Kasneci et al., 2023; Salvagno et al., = 2023). Su valor pedag=C3=B3gico aumenta cuando se utiliza como andamiaje pa= ra revisar decisiones argumentativas y no como mecanismo de sustituci=C3=B3= n de la autor=C3=ADa humana.Estos hallazgos sugieren que el efecto = de la IAG sobre la escritura acad=C3=A9mica depende decisivamente del prop= =C3=B3sito con que se emplea y del grado de involucramiento cr=C3=ADtico qu= e mantiene el usuario. Cuando la herramienta se utiliza para explorar posib= ilidades expresivas o verificar la claridad de un argumento ya construido, = su aporte tiende a ser positivo; cuando sustituye directamente el proceso d= e razonamiento, los beneficios pedag=C3=B3gicos se debilitan.Los ri= esgos m=C3=A1s frecuentes se relacionan con respuestas plausibles pero inco= rrectas, datos fabricados, referencias inexistentes, reproducci=C3=B3n de s= esgos y dificultad para diferenciar textos humanos de contenidos generados = autom=C3=A1ticamente. Estudios emp=C3=ADricos han mostrado que los modelos = pueden producir res=C3=BAmenes cient=C3=ADficos convincentes con informaci= =C3=B3n completamente inventada, mientras que la literatura sobre integrida= d advierte que su uso no declarado puede facilitar pr=C3=A1cticas de apropi= aci=C3=B3n indebida o fraude acad=C3=A9mico (Gao et al., 2023; Eke, 2023; C= otton et al., 2024).La autor=C3=ADa cient=C3=ADfica implica contrib= uci=C3=B3n intelectual, aprobaci=C3=B3n de la versi=C3=B3n final, responsab= ilidad y capacidad para responder por la exactitud e integridad del trabajo= . Debido a que los sistemas de IA no pueden asumir responsabilidad =C3=A9ti= ca ni jur=C3=ADdica, no cumplen los criterios de autor=C3=ADa y su interven= ci=C3=B3n debe declararse de forma transparente (COPE Council, 2023; </span= >International Committee of Medical Journ= al Editors [ICMJE], 2026). Las pol=C3=ADticas editoriales coin= ciden, adem=C3=A1s, en que los autores humanos deben verificar la informaci= =C3=B3n, preservar la confidencialidad y mantener el control sobre las deci= siones cient=C3=ADficas (Elsevier, 2026; Editorials Nature, 2023).1.2.<spa= n style=3D"font-style:italic"> Problema, vac=C3=ADo de conocimiento y justi= ficaci=C3=B3nLa literatura reciente ha examinado ampliamente las op= ortunidades educativas de los grandes modelos de lenguaje, los riesgos de i= ntegridad acad=C3=A9mica y las pol=C3=ADticas editoriales sobre autor=C3=AD= a; sin embargo, estos componentes suelen presentarse de manera fragmentada.= Persiste la necesidad de una s=C3=ADntesis que articule, en un mismo marco= anal=C3=ADtico, los aportes de la IAG a la escritura acad=C3=A9mica, los r= iesgos para la autor=C3=ADa y la integridad cient=C3=ADfica, las exigencias= de transparencia editorial y las implicaciones pedag=C3=B3gicas para la en= se=C3=B1anza universitaria (Dwivedi et al., 2023; Kasneci et al., 2023; Eke= , 2023).Esta fragmentaci=C3=B3n dificulta que docentes, investigado= res y responsables de pol=C3=ADtica institucional cuenten con criterios int= egrados para orientar decisiones concretas, ya que la evidencia disponible = suele abordar por separado la dimensi=C3=B3n pedag=C3=B3gica, la dimensi=C3= =B3n =C3=A9tica y la dimensi=C3=B3n editorial del fen=C3=B3meno. Reunir est= as perspectivas en un marco com=C3=BAn permite identificar convergencias y = tensiones que, de otro modo, permanecer=C3=ADan dispersas entre disciplinas= y tipos de fuente.La investigaci=C3=B3n se justifica por su releva= ncia cient=C3=ADfica, al sistematizar evidencia multidisciplinaria; por su = pertinencia educativa, al orientar estrategias de ense=C3=B1anza de la escr= itura; y por su utilidad institucional, al proporcionar criterios para pol= =C3=ADticas sobre uso responsable, verificaci=C3=B3n de fuentes y declaraci= =C3=B3n de herramientas. Su aporte consiste en integrar la dimensi=C3=B3n t= ecnol=C3=B3gica con la responsabilidad autoral y la formaci=C3=B3n =C3=A9ti= ca, evitando tanto una visi=C3=B3n prohibicionista como una aceptaci=C3=B3n= acr=C3=ADtica de la IAG.<= span style=3D"font-style:italic">1.3. Objetivo del art=C3=ADculoEl objetivo general fue analiz= ar los desaf=C3=ADos =C3=A9ticos, de autor=C3=ADa e integridad cient=C3=ADf= ica asociados con el uso de la inteligencia artificial generativa en la esc= ritura acad=C3=A9mica dentro de la educaci=C3=B3n superior, mediante una re= visi=C3=B3n integrativa sistematizada de literatura cient=C3=ADfica y linea= mientos internacionales, con el prop=C3=B3sito de identificar buenas pr=C3= =A1cticas para su utilizaci=C3=B3n responsable.De manera espec=C3= =ADfica, se busc=C3=B3: a) identificar los principales aportes de la IAG a = la escritura acad=C3=A9mica; b) examinar los riesgos relacionados con autor= =C3=ADa, plagio, transparencia e integridad cient=C3=ADfica; c) analizar re= comendaciones de organismos internacionales y editoriales cient=C3=ADficas;= y d) proponer orientaciones para fortalecer una escritura universitaria cr= =C3=ADtica, verificable y responsable. Este conjunto de prop=C3=B3sitos per= mite abordar el fen=C3=B3meno desde una perspectiva integral, que combina d= escripci=C3=B3n de usos, valoraci=C3=B3n cr=C3=ADtica de sus principales ri= esgos y formulaci=C3=B3n de orientaciones institucionales, pedag=C3=B3gicas= y editoriales.2.= Met= odolog=C3=ADaSe desarroll=C3=B3 una revisi=C3=B3n integrativa siste= matizada, con enfoque cualitativo y alcance descriptivo-anal=C3=ADtico. Est= e dise=C3=B1o fue seleccionado porque permite reunir art=C3=ADculos emp=C3= =ADricos, revisiones, aportes conceptuales y documentos normativos, conserv= ando un procedimiento expl=C3=ADcito de b=C3=BAsqueda, valoraci=C3=B3n, s= =C3=ADntesis e interpretaci=C3=B3n. La elecci=C3=B3n se fundament=C3=B3 en = la tipolog=C3=ADa de revisiones y el marco SALSA (Search, Appraisal, Synthesis and= Analysis), as=C3=AD como en las orientaciones para revisiones= integrativas y revisiones de literatura como metodolog=C3=ADa de investiga= ci=C3=B3n (Grant & Booth, 2009; Whittemore & Knafl, 2005; Snyder, 2= 019). La pregunta orientadora fue: =C2=BFcu=C3=A1les son los principales ap= ortes, riesgos =C3=A9ticos, criterios de autor=C3=ADa y lineamientos de int= egridad cient=C3=ADfica asociados con el uso de inteligencia artificial gen= erativa en la escritura acad=C3=A9mica de la educaci=C3=B3n superior? Debid= o a la heterogeneidad conceptual y metodol=C3=B3gica de las fuentes, no se = plante=C3=B3 un metaan=C3=A1lisis; la s=C3=ADntesis fue interpretativa y te= m=C3=A1tica.2.1. Fu= entes de informaci=C3=B3n y periodo de b=C3=BAsquedaLa b=C3=BAsqued= a documental se efectu=C3=B3 entre junio y julio de 2026 y se actualiz=C3= =B3 el 31 de julio de 2026. Se consultaron Scopus, Web of Science, ERIC, ScienceDirect, SpringerLink, Wiley O= nline Library y Taylor & Francis Online. Para complementar= la evidencia cient=C3=ADfica se revisaron documentos oficiales de <= span style=3D"font-style:italic">UNESCO, OECD, Committee on Publication Eth= ics (COPE), International Committee of Medical Journal Editors (ICMJE)</spa= n> y pol=C3=ADticas editoriales de casas acad=C3=A9micas reconocidas.= La combinaci=C3=B3n de bases multidisciplinarias y fuentes institucionales= respondi=C3=B3 a la necesidad de integrar evidencia educativa, tecnol=C3= =B3gica, =C3=A9tica y editorial. El periodo principal de inclusi=C3=B3n tem= =C3=A1tica fue 2022-2026, por corresponder a la expansi=C3=B3n p=C3=BAblica= de la IAG. Se incorporaron, de manera excepcional, trabajos anteriores con= siderados fundamentales para el marco conceptual o metodol=C3=B3gico, como = estudios sobre inteligencia artificial en educaci=C3=B3n superior, escritur= a acad=C3=A9mica y m=C3=A9todos de revisi=C3=B3n.2.2.= Estrategia de b=C3=BAsqueda<p= style=3D"text-align:justify; line-height:115%; font-size:12pt">La es= trategia combin=C3=B3 t=C3=A9rminos libres en ingl=C3=A9s y espa=C3=B1ol me= diante los operadores booleanos AND y OR. La cadena matriz en ingl=C3=A9s f= ue: *("generative artificial intel= ligence" OR "large language model*" OR ChatGPT OR "AI-assisted writing") AN= D ("academic writing" OR "scientific writing") AND (ethic* OR authorship OR= "academic integrity" OR "research integrity") AND ("higher education" OR u= niversit*) *. La cadena matriz en espa=C3=B1ol fue: *("intelig= encia artificial generativa" OR "modelos de lenguaje" OR ChatGPT OR "escrit= ura asistida por IA") AND ("escritura acad=C3=A9mica" OR "escritura cient= =C3=ADfica") AND (=C3=A9tica OR autor=C3=ADa OR "integridad acad=C3=A9mica"= OR "integridad cient=C3=ADfica") AND ("educaci=C3=B3n superior" OR univers= idad*)*Las expresiones se ajustaron a los campos de t=C3=ADtulo, re= sumen y palabras clave, as=C3=AD como a la sintaxis y filtros de cada plata= forma. Para mejorar la transparencia y reproducibilidad del reporte se cons= ideraron los componentes de PRISMA 2020 y la extensi=C3=B3n PRISMA-S para b= =C3=BAsquedas bibliogr=C3=A1ficas (Page et al., 2021; Rethlefsen et al., 20= 21).2.3. Criterios = de inclusi=C3=B3n y exclusi=C3=B3nLos criterios se definieron antes= de la lectura a texto completo para reducir decisiones ad hoc y mantener c= oherencia con el objetivo de la revisi=C3=B3n.Criterios de inclusi=C3=B3n<ul style=3D"margin:0pt; paddi= ng-left:0pt"><li class=3D"ListParagraph" style=3D"margin-left:17.63pt; text= -align:justify; line-height:115%; padding-left:3.67pt; font-family:serif; f= ont-size:12pt">Art=C3=ADculos= cient=C3=ADficos revisados por pares, revisiones y estudios bibliom=C3=A9t= ricos relacionados con IAG, escritura acad=C3=A9mica, autor=C3=ADa o integr= idad cient=C3=ADfica.</li><li class=3D"ListParagraph" style=3D"margi= n-left:17.63pt; text-align:justify; line-height:115%; padding-left:3.67pt; = font-family:serif; font-size:12pt">Documentos t=C3=A9cnicos, recomendaciones y pol=C3=ADticas emitidos p= or organismos internacionales, comit=C3=A9s editoriales o editoriales cient= =C3=ADficas reconocidas.</li><li class=3D"ListParagraph" style=3D"ma= rgin-left:17.63pt; text-align:justify; line-height:115%; padding-left:3.67p= t; font-family:serif; font-size:12pt">Publicaciones en espa=C3=B1ol o ingl=C3=A9s, con texto completo di= sponible y datos bibliogr=C3=A1ficos verificables.</li><li class=3D"= ListParagraph" style=3D"margin-left:17.63pt; text-align:justify; line-heigh= t:115%; padding-left:3.67pt; font-family:serif; font-size:12pt">Fuentes publicadas principalmente entre = 2022 y 2026, con admisi=C3=B3n de antecedentes conceptuales o metodol=C3=B3= gicos seminales anteriores.</li><li class=3D"ListParagraph" style=3D= "margin-left:17.63pt; text-align:justify; line-height:115%; padding-left:3.= 67pt; font-family:serif; font-size:12pt">Trabajos centrados en educaci=C3=B3n superior, investigaci=C3= =B3n, comunicaci=C3=B3n cient=C3=ADfica o formaci=C3=B3n en escritura acad= =C3=A9mica.</li></ul>Criterios de exclusi= =C3=B3n<ul style=3D"margin:0pt; padding-left:0pt"><li class=3D"L= istParagraph" style=3D"margin-left:17.63pt; text-align:justify; line-height= :115%; padding-left:3.67pt; font-family:serif; font-size:12pt">Noticias, entradas de blogs, contenidos = comerciales o textos de opini=C3=B3n sin respaldo acad=C3=A9mico o instituc= ional.</li><li class=3D"ListParagraph" style=3D"margin-left:17.63pt;= text-align:justify; line-height:115%; padding-left:3.67pt; font-family:ser= if; font-size:12pt">Documento= s duplicados o versiones preliminares cuando se dispuso de una versi=C3=B3n= final publicada.</li><li class=3D"ListParagraph" style=3D"margin-le= ft:17.63pt; text-align:justify; line-height:115%; padding-left:3.67pt; font= -family:serif; font-size:12pt">Estudios exclusivamente t=C3=A9cnicos sobre arquitectura o entrenamiento = de modelos sin relaci=C3=B3n con educaci=C3=B3n, escritura o integridad.</s= pan></li><li class=3D"ListParagraph" style=3D"margin-left:17.63pt; text-ali= gn:justify; line-height:115%; padding-left:3.67pt; font-family:serif; font-= size:12pt">Publicaciones sin = acceso al texto completo, sin autor=C3=ADa identificable o con referencias = imposibles de verificar.</li><li class=3D"ListParagraph" style=3D"ma= rgin-left:17.63pt; text-align:justify; line-height:115%; padding-left:3.67p= t; font-family:serif; font-size:12pt">Trabajos cuya contribuci=C3=B3n no respond=C3=ADa a la pregunta de= revisi=C3=B3n.</li></ul><span= style=3D"font-style:italic">2.4. Proceso de selecci=C3=B3n documentalLa selecci=C3=B3n se des= arroll=C3=B3 en cuatro fases: identificaci=C3=B3n de registros; depuraci=C3= =B3n de duplicados mediante coincidencia de t=C3=ADtulo, DOI y autor=C3=ADa= ; cribado de t=C3=ADtulos y res=C3=BAmenes; y lectura a texto completo. En = la fase final se valoraron la pertinencia respecto de la pregunta, la actua= lidad, la claridad metodol=C3=B3gica, la procedencia editorial y la contrib= uci=C3=B3n al an=C3=A1lisis. El equipo autor revis=C3=B3 de forma colegiada= la elegibilidad de las fuentes y resolvi=C3=B3 las diferencias mediante di= scusi=C3=B3n y consenso. Las fuentes incluidas se organizaron en un registr= o de trazabilidad con informaci=C3=B3n sobre base de datos, t=C3=A9rmino de= b=C3=BAsqueda, fecha de consulta, decisi=C3=B3n de inclusi=C3=B3n o exclus= i=C3=B3n y motivo correspondiente. Este procedimiento se aline=C3=B3 con lo= s principios de transparencia de PRISMA 2020, PRISMA-S y el JBI Manual for Evidenc= e Synthesis (Page et al., 2021; Rethlefsen et al., 2021; Aroma= taris et al., 2024).2.5. Extracci=C3=B3n, valoraci=C3=B3n y an=C3=A1lisis de la informaci=C3= =B3nLa extracci=C3=B3n se realiz=C3=B3 mediante una matriz que regi= str=C3=B3: autor=C3=ADa, a=C3=B1o, pa=C3=ADs o alcance institucional, tipo = de documento, objetivo, dise=C3=B1o metodol=C3=B3gico, aplicaciones de la I= AG, riesgos identificados, criterios de autor=C3=ADa, recomendaciones de tr= ansparencia y contribuci=C3=B3n al estudio. La matriz permiti=C3=B3 compara= r fuentes de naturaleza distinta y mantener una cadena de evidencia entre l= os documentos y las categor=C3=ADas interpretativas.La valoraci=C3= =B3n de calidad y credibilidad consider=C3=B3 cinco criterios: a) arbitraje= cient=C3=ADfico o autoridad institucional; b) claridad del objetivo y del = m=C3=A9todo; c) actualidad y pertinencia tem=C3=A1tica; d) coherencia entre= evidencia y conclusiones; y e) disponibilidad de DOI o enlace instituciona= l estable. En los documentos normativos se priorizaron la competencia del o= rganismo emisor, la vigencia y la aplicabilidad al =C3=A1mbito acad=C3=A9mi= co. Esta valoraci=C3=B3n se inspir=C3=B3 en principios de s=C3=ADntesis rig= urosa y trazable propuestos por JBI y por la literatura metodol=C3=B3gica s= obre revisiones (Aromataris et al., 2024; Snyder, 2019). El an=C3=A1lisis s= igui=C3=B3 una l=C3=B3gica tem=C3=A1tica: lectura comprensiva, codificaci= =C3=B3n inicial, agrupaci=C3=B3n de c=C3=B3digos, revisi=C3=B3n de categor= =C3=ADas, definici=C3=B3n de temas y elaboraci=C3=B3n de la s=C3=ADntesis. = Estas fases se fundamentaron en el an=C3=A1lisis tem=C3=A1tico de Braun &am= p; Clarke (2006). Las categor=C3=ADas finales fueron: transformaci=C3=B3n d= e la escritura acad=C3=A9mica; beneficios y aplicaciones; riesgos de integr= idad; autor=C3=ADa y responsabilidad; transparencia y declaraci=C3=B3n del = uso de IA; implicaciones pedag=C3=B3gicas; y orientaciones institucionales.= La s=C3=ADntesis comparativa identific=C3=B3 coincidencias, divergencias, = vac=C3=ADos y relaciones entre la evidencia emp=C3=ADrica y los lineamiento= s normativos. No se calcularon tama=C3=B1os de efecto ni se ponderaron esta= d=C3=ADsticamente los resultados, debido a la heterogeneidad de dise=C3=B1o= s y al predominio de fuentes cualitativas, conceptuales y regulatorias.</sp= an>2.6. Rigor, =C3=A9tica = y transparenciaPara fortalecer el rigor se verificaron t=C3=ADtulos= , autor=C3=ADa, a=C3=B1o, revista, DOI y enlaces institucionales; se descar= taron referencias no localizables y se priorizaron fuentes originales o p= =C3=A1ginas oficiales. La trazabilidad se sostuvo mediante la matriz de ext= racci=C3=B3n y el registro de decisiones. En concordancia con PRISMA-S, la = estrategia de b=C3=BAsqueda se report=C3=B3 con t=C3=A9rminos, operadores, = fuentes y fecha de actualizaci=C3=B3n (Rethlefsen et al., 2021). La investi= gaci=C3=B3n no involucr=C3=B3 participantes humanos, datos personales ni ex= perimentaci=C3=B3n, por lo que no requiri=C3=B3 consentimiento informado ni= aprobaci=C3=B3n de un comit=C3=A9 de =C3=A9tica. Se respetaron la propieda= d intelectual, la atribuci=C3=B3n de fuentes y la responsabilidad humana so= bre el manuscrito. Las recomendaciones vigentes establecen que la IA no pue= de figurar como autora, que su utilizaci=C3=B3n debe declararse y que los a= utores deben verificar la exactitud, originalidad y validez del contenido (= COPE Council, 2023; ICMJE, 2026).3. ResultadosEl corpus tem=C3=A1tico central qued=C3=B3= conformado por 18 fuentes de alcance internacional: ocho art=C3=ADculos ci= ent=C3=ADficos revisados por pares, dos aportes acad=C3=A9micos de car=C3= =A1cter editorial o reflexivo, dos informes o documentos t=C3=A9cnicos, un = libro especializado y cinco gu=C3=ADas o pol=C3=ADticas institucionales. Pr= edominaron las publicaciones en ingl=C3=A9s y los trabajos aparecidos desde= 2023, lo que refleja el car=C3=A1cter reciente y acelerado del fen=C3=B3me= no. Las =C3=A1reas con mayor presencia fueron educaci=C3=B3n superior, comu= nicaci=C3=B3n cient=C3=ADfica, =C3=A9tica de la publicaci=C3=B3n, investiga= ci=C3=B3n y gobernanza de la inteligencia artificial. Los antecedentes ante= riores a 2022 cumplieron una funci=C3=B3n contextual: fundamentaron la escr= itura acad=C3=A9mica, la trayectoria de la inteligencia artificial en educa= ci=C3=B3n superior y el dise=C3=B1o metodol=C3=B3gico de la revisi=C3=B3n. = La evidencia reciente, en cambio, se concentr=C3=B3 en la irrupci=C3=B3n de= los modelos generativos, sus usos en producci=C3=B3n textual, los riesgos = de integridad y la respuesta de organismos y editoriales. Como se muestra en la Tabla 1, las fuentes centrales re=C3=BAn= en aportes conceptuales, evidencia emp=C3=ADrica y lineamientos institucion= ales utilizados en el an=C3=A1lisis.Tabla 1S=C3=ADntesis de fuen= tes centrales y su aporte al estudio<table style=3D"width:100%; = padding:0pt; border-collapse:collapse"><tr><td style=3D"border-top:0.75pt s= olid #000000; border-bottom:0.75pt solid #000000; padding:0pt 0.5pt; vertic= al-align:top">Refere= ncia</td><td style=3D"border-top:0.75pt solid #000000; border-bo= ttom:0.75pt solid #000000; padding:0pt 0.5pt; vertical-align:top">Principal aporte<= /td><td style=3D"border-top:0.75pt solid #000000; border-bottom:0.75pt soli= d #000000; padding:0pt 0.5pt; vertical-align:top">Aplicaci=C3=B3n en este estudio</t= d></tr><tr><td style=3D"border-top:0.75pt solid #000000; border-bottom:0.75= pt solid #000000; padding:0pt 0.5pt; vertical-align:top">Bommasani et al. (2021)</td><td style=3D"borde= r-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt= 0.5pt; vertical-align:top">Oportunidad= es y riesgos de los modelos fundacionales.</td><td style=3D"bord= er-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0p= t 0.5pt; vertical-align:top">Marco conc= eptual de la IAG.</td></tr><tr><td style=3D"border-top:0.75pt so= lid #000000; border-bottom:0.75pt solid #000000; padding:0pt 0.5pt; vertica= l-align:top">Kasneci et al. (2023)</spa= n></td><td style=3D"border-top:0.75pt solid #000000; border-bottom:0.75= pt solid #000000; padding:0pt 0.5pt; vertical-align:top">Potencial educativo y limitaciones de los grandes modelos= de lenguaje.</td><td style=3D"border-top:0.75pt solid #000000; = border-bottom:0.75pt solid #000000; padding:0pt 0.5pt; vertical-align:top">= Aplicaciones y supervisi=C3=B3n pedag= =C3=B3gica.</td></tr><tr><td style=3D"border-top:0.75pt solid #0= 00000; border-bottom:0.75pt solid #000000; padding:0pt 0.5pt; vertical-alig= n:top">Dwivedi et al. (2023)= </td><td style=3D"border-top:0.75pt solid #000000; border-bottom:0.75pt sol= id #000000; padding:0pt 0.5pt; vertical-align:top">An=C3=A1lisis multidisciplinario de oportunidades y desaf=C3=AD= os de ChatGPT.</td><td style=3D"border-top:0.75pt solid #000000;= border-bottom:0.75pt solid #000000; padding:0pt 0.5pt; vertical-align:top"= >Discusi=C3=B3n =C3=A9tica y cient=C3= =ADfica.</td></tr><tr><td style=3D"border-top:0.75pt solid #0000= 00; border-bottom:0.75pt solid #000000; padding:0pt 0.5pt; vertical-align:t= op">Gao et al. (2023)</td><t= d style=3D"border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000= 000; padding:0pt 0.5pt; vertical-align:top"><= span>Evidencia emp=C3=ADrica sobre textos cient=C3=ADficos plausibles con d= atos fabricados.</td><td style=3D"border-top:0.75pt solid #00000= 0; border-bottom:0.75pt solid #000000; padding:0pt 0.5pt; vertical-align:to= p">Riesgos de exactitud y verificaci=C3= =B3n.</td></tr><tr><td style=3D"border-top:0.75pt solid #000000;= border-bottom:0.75pt solid #000000; padding:0pt 0.5pt; vertical-align:top"= >Eke (2023)</td><td style=3D= "border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; paddi= ng:0pt 0.5pt; vertical-align:top">Amena= zas de la IAG para la integridad acad=C3=A9mica.</td><td style= =3D"border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; pa= dding:0pt 0.5pt; vertical-align:top">Pl= agio, responsabilidad y gobernanza.</td></tr><tr><td style=3D"bo= rder-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:= 0pt 0.5pt; vertical-align:top">Cotton e= t al. (2024)</td><td style=3D"border-top:0.75pt solid #000000; b= order-bottom:0.75pt solid #000000; padding:0pt 0.5pt; vertical-align:top"><= p style=3D"line-height:115%">Implicaciones de ChatGPT para evaluaci= =C3=B3n e integridad universitaria.</td><td style=3D"border-top:= 0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 0.5pt= ; vertical-align:top">Orientaciones doc= entes y de evaluaci=C3=B3n.</td></tr><tr><td style=3D"border-top= :0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 0.5p= t; vertical-align:top"><a href=3D"https://une= sdoc.unesco.org/query?q=3DAutor:%20%22Miao,%20Fengchun%22&sf=3Dsf:*&= ;queryDisplay=3DPersona%20autor%3A%20%22Miao%2C%20Fengchun%20%5Bauthor%5D%2= 2" style=3D"text-decoration:none">Miao</a> & <a href= =3D"https://unesdoc.unesco.org/query?q=3DAutor:%20%22Holmes,%20Wayne%22&= ;sf=3Dsf:*&queryDisplay=3DPersona%20autor%3A%20%22Holmes%2C%20Wayne%20%= 5Bauthor%5D%22" style=3D"text-decoration:none">Holmes</a> (2023)<= /span></td><td style=3D"border-top:0.75pt solid #000000; border-bottom:= 0.75pt solid #000000; padding:0pt 0.5pt; vertical-align:top">Enfoque humano, =C3=A9tico y regulatorio para educaci= =C3=B3n e investigaci=C3=B3n.</td><td style=3D"border-top:0.75pt= solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 0.5pt; vert= ical-align:top">Marco internacional de = uso responsable.</td></tr><tr><td style=3D"border-top:0.75pt sol= id #000000; border-bottom:0.75pt solid #000000; padding:0pt 0.5pt; vertical= -align:top">OECD (2026)</td>= <td style=3D"border-top:0.75pt solid #000000; border-bottom:0.75pt solid #0= 00000; padding:0pt 0.5pt; vertical-align:top">Uso de IAG como apoyo al aprendizaje y no como atajo cognitivo.</spa= n></td><td style=3D"border-top:0.75pt solid #000000; border-bottom:0.75= pt solid #000000; padding:0pt 0.5pt; vertical-align:top">Pol=C3=ADtica educativa y evaluaci=C3=B3n por procesos.</= span></td></tr><tr><td style=3D"border-top:0.75pt solid #000000; border= -bottom:0.75pt solid #000000; padding:0pt 0.5pt; vertical-align:top">COPE Council (2023)</td><td style= =3D"border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; pa= dding:0pt 0.5pt; vertical-align:top">La= IA no cumple criterios de autor=C3=ADa y debe declararse.</td><= td style=3D"border-top:0.75pt solid #000000; border-bottom:0.75pt solid #00= 0000; padding:0pt 0.5pt; vertical-align:top">= Transparencia editorial.</td></tr><tr><td style=3D"border-= top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 0= .5pt; vertical-align:top">ICMJE (2026)<= /span></td><td style=3D"border-top:0.75pt solid #000000; border-bottom:= 0.75pt solid #000000; padding:0pt 0.5pt; vertical-align:top">Responsabilidad humana, verificaci=C3=B3n y declaraci= =C3=B3n del uso de IA.</td><td style=3D"border-top:0.75pt solid = #000000; border-bottom:0.75pt solid #000000; padding:0pt 0.5pt; vertical-al= ign:top">Autor=C3=ADa e integridad cien= t=C3=ADfica.</td></tr><tr><td style=3D"border-top:0.75pt solid #= 000000; border-bottom:0.75pt solid #000000; padding:0pt 0.5pt; vertical-ali= gn:top">Elsevier (2026)</td>= <td style=3D"border-top:0.75pt solid #000000; border-bottom:0.75pt solid #0= 00000; padding:0pt 0.5pt; vertical-align:top">Pol=C3=ADtica de uso y declaraci=C3=B3n de tecnolog=C3=ADas generati= vas.</td><td style=3D"border-top:0.75pt solid #000000; border-bo= ttom:0.75pt solid #000000; padding:0pt 0.5pt; vertical-align:top">Responsabilidad del autor y divulgaci=C3=B3n.</= span></td></tr><tr><td style=3D"border-top:0.75pt solid #000000; border= -bottom:0.75pt solid #000000; padding:0pt 0.5pt; vertical-align:top">Editorials Nature (2023)</td><td s= tyle=3D"border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000= ; padding:0pt 0.5pt; vertical-align:top"><spa= n>Reglas editoriales para preservar transparencia cient=C3=ADfica.</= p></td><td style=3D"border-top:0.75pt solid #000000; border-bottom:0.75pt s= olid #000000; padding:0pt 0.5pt; vertical-align:top">Criterios de publicaci=C3=B3n responsable.</td></t= r></table>4. &#x= a0; Discusi=C3=B3n</spa= n><sp= an>Los hallazgos muestran que el uso de la IAG en la escritura acad=C3=A9mi= ca combina oportunidades de apoyo a la producci=C3=B3n textual con riesgos = para la integridad, la autor=C3=ADa y la autonom=C3=ADa intelectual. A part= ir de la evidencia revisada, la discusi=C3=B3n contrasta estos aportes y ri= esgos con los lineamientos pedag=C3=B3gicos, =C3=A9ticos y editoriales iden= tificados.4.1. Usos= de la inteligencia artificial generativa en la escritura acad=C3=A9mica</s= pan><= span>La expansi=C3=B3n de modelos conversacionales de gran escala aceler=C3= =B3 la incorporaci=C3=B3n de la IAG en b=C3=BAsqueda de informaci=C3=B3n, p= roducci=C3=B3n textual, programaci=C3=B3n, an=C3=A1lisis documental y revis= i=C3=B3n de manuscritos (Bommasani et al., 2021; Dwivedi et al., 2023). A d= iferencia de un buscador convencional, un modelo de lenguaje genera secuenc= ias probabil=C3=ADsticas a partir de patrones aprendidos, por lo que sus re= spuestas deben considerarse propuestas textuales y no evidencia verificada.= En la escritura acad=C3=A9mica, las aplicaciones m=C3=A1s consistentes son= la lluvia de ideas, la elaboraci=C3=B3n de esquemas, la reformulaci=C3=B3n= , la retroalimentaci=C3=B3n ling=C3=BC=C3=ADstica, la traducci=C3=B3n y la = s=C3=ADntesis inicial. Estas funciones pueden favorecer el aprendizaje aut= =C3=B3nomo y la productividad si se articulan con objetivos pedag=C3=B3gico= s, instrucciones expl=C3=ADcitas y revisi=C3=B3n cr=C3=ADtica (Kasneci et a= l., 2023; Salvagno et al., 2023). El beneficio, por tanto no depende =C3=BA= nicamente de la herramienta, sino del dise=C3=B1o de la actividad y de la c= apacidad del usuario para evaluar el resultado. La evidencia tambi=C3=A9n s= ugiere que la IAG puede ampliar el acceso a apoyos de escritura para estudi= antes con diferentes niveles ling=C3=BC=C3=ADsticos; sin embargo, una asist= encia excesiva puede homogeneizar la voz, reducir la toma de decisiones y o= cultar dificultades reales. El criterio central consiste en utilizarla como= andamiaje temporal y verificable, no como sustituto de la construcci=C3=B3= n argumentativa del estudiante.= 4.2. Desaf=C3=ADos =C3=A9ticos e integridad cient=C3=ADfica</s= pan><= span>La facilidad para generar textos completos puede debilitar el razonami= ento cr=C3=ADtico, la argumentaci=C3=B3n, la s=C3=ADntesis y la escritura a= ut=C3=B3noma cuando el usuario delega tareas cognitivas esenciales. La lite= ratura advierte sobre dependencia tecnol=C3=B3gica, uso instrumental sin ap= rendizaje y presentaci=C3=B3n de contenido generado como producci=C3=B3n pr= opia (Tlili et al., 2023; Cotton et al., 2024; Eke, 2023). La exactitud con= stituye un riesgo especialmente relevante. Los modelos pueden producir afir= maciones plausibles, datos ficticios y referencias inexistentes. Gao et al.= (2023) demostraron que ChatGPT pod=C3=ADa generar res=C3=BAmenes cient=C3= =ADficos convincentes con datos completamente inventados y que los evaluado= res humanos no siempre los identificaban correctamente. Este resultado refu= erza la necesidad de verificar cada afirmaci=C3=B3n, localizar la fuente pr= imaria y comprobar DOI, autor=C3=ADa y correspondencia entre la cita y el a= rgumento. La integridad acad=C3=A9mica no se protege =C3=BAnicamente median= te detectores de texto generado, cuyos resultados pueden ser inciertos o ge= nerar falsos positivos. Se requieren dise=C3=B1os de evaluaci=C3=B3n que do= cumenten el proceso, incorporen borradores, bit=C3=A1coras, defensa oral, a= n=C3=A1lisis de fuentes y reflexi=C3=B3n metacognitiva. De este modo, la ev= aluaci=C3=B3n se desplaza del control punitivo hacia la demostraci=C3=B3n d= e aprendizaje y responsabilidad.= 4.3. Autor=C3=ADa, responsabilidad y transparencia<= p style=3D"text-align:justify; line-height:115%; font-size:12pt">La a= utor=C3=ADa confiere cr=C3=A9dito, pero tambi=C3=A9n responsabilidad sobre = la originalidad, exactitud y trazabilidad del trabajo. Las recomendaciones = vigentes del ICMJE establecen que las herramientas generativas no pueden se= r autoras porque no responden por el contenido, no aprueban la versi=C3=B3n= final y no pueden asumir responsabilidad jur=C3=ADdica o =C3=A9tica. Los a= utores humanos deben declarar la herramienta, su finalidad y el alcance de = su uso, adem=C3=A1s de revisar la informaci=C3=B3n generada (ICMJE, 2026). = COPE Council (2023) mantiene el mismo principio: la IA no satisface criteri= os de autor=C3=ADa y la responsabilidad recae en las personas que firman el= manuscrito. En consecuencia, el uso leg=C3=ADtimo exige distinguir entre a= poyo ling=C3=BC=C3=ADstico, asistencia metodol=C3=B3gica y generaci=C3=B3n = sustantiva de contenido. Cuanto mayor sea la intervenci=C3=B3n de la herram= ienta en el razonamiento, la redacci=C3=B3n o el an=C3=A1lisis, mayor debe = ser la precisi=C3=B3n de la declaraci=C3=B3n y del control humano. Las pol= =C3=ADticas editoriales convergen en tres exigencias: no atribuir autor=C3= =ADa a la IA, declarar usos relevantes y verificar el producto antes de env= iarlo. Elsevier (2026) solicita una declaraci=C3=B3n espec=C3=ADfica sobre = tecnolog=C3=ADas generativas; Editorials Nature (2023) exige transparencia = y conserva la responsabilidad en los autores. Esta convergencia permite afi= rmar que la discusi=C3=B3n actual ya no se centra en prohibir de manera abs= oluta, sino en establecer l=C3=ADmites verificables y responsabilidades cla= ras.4.4. Implicacio= nes para la ense=C3=B1anza de la redacci=C3=B3n acad=C3=A9mica<p= style=3D"text-align:justify; line-height:115%; font-size:12pt">La en= se=C3=B1anza debe priorizar la escritura como proceso: planificaci=C3=B3n, = b=C3=BAsqueda, formulaci=C3=B3n de argumentos, redacci=C3=B3n, revisi=C3=B3= n y edici=C3=B3n. La IAG puede intervenir en etapas delimitadas, pero cada = uso debe acompa=C3=B1arse de preguntas de control: =C2=BFqu=C3=A9 decisi=C3= =B3n tom=C3=B3 el estudiante?, =C2=BFqu=C3=A9 fuente respalda la afirmaci= =C3=B3n?, =C2=BFqu=C3=A9 cambi=C3=B3 despu=C3=A9s de revisar la propuesta d= e la IA?, =C2=BFqu=C3=A9 parte conserva la voz y el razonamiento propios? E= ste enfoque convierte la herramienta en objeto de an=C3=A1lisis y no en sus= tituto invisible del aprendizaje. Las actividades formativas pueden incluir= comparaci=C3=B3n entre respuestas humanas y generadas, detecci=C3=B3n de a= firmaciones sin evidencia, reconstrucci=C3=B3n de referencias, evaluaci=C3= =B3n de sesgos y elaboraci=C3=B3n de declaraciones de uso. Cotton et al. (2= 024) y Eke (2023) muestran que las respuestas institucionales deben combina= r integridad, redise=C3=B1o de evaluaci=C3=B3n y alfabetizaci=C3=B3n cr=C3= =ADtica, en lugar de depender exclusivamente de medidas de detecci=C3=B3n. = La retroalimentaci=C3=B3n docente debe valorar la calidad del razonamiento = y la trazabilidad del proceso. Resultan pertinentes los portafolios con ver= siones sucesivas, comentarios de revisi=C3=B3n, matrices de fuentes, defens= as orales breves y reflexiones sobre decisiones de escritura. Estas evidenc= ias permiten distinguir el apoyo leg=C3=ADtimo de la sustituci=C3=B3n del t= rabajo intelectual y fortalecen la autorregulaci=C3=B3n del estudiante.</sp= an>4.5. Orientaciones inst= itucionales para un uso responsableLas instituciones requieren pol= =C3=ADticas comprensibles, actualizadas y diferenciadas por contexto. Una n= ormativa efectiva debe especificar usos permitidos, restringidos y prohibid= os; criterios de declaraci=C3=B3n; protecci=C3=B3n de datos; tratamiento de= informaci=C3=B3n confidencial; responsabilidades de docentes y estudiantes= ; y consecuencias proporcionales ante el uso no autorizado. Las reglas gene= rales deben complementarse con orientaciones por asignatura, nivel formativ= o y tipo de evaluaci=C3=B3n. <a href=3D"https://unesdoc.unesco.org/q= uery?q=3DAutor:%20%22Miao,%20Fengchun%22&sf=3Dsf:*&queryDisplay=3DP= ersona%20autor%3A%20%22Miao%2C%20Fengchun%20%5Bauthor%5D%22" style=3D"text-= decoration:none">Miao</a> & <a href=3D"https://unesdoc= .unesco.org/query?q=3DAutor:%20%22Holmes,%20Wayne%22&sf=3Dsf:*&quer= yDisplay=3DPersona%20autor%3A%20%22Holmes%2C%20Wayne%20%5Bauthor%5D%22" sty= le=3D"text-decoration:none">Holmes</a> (2023) propone una goberna= nza centrada en el ser humano, mientras la OECD (2026) advierte que la IAG = debe dise=C3=B1arse como apoyo al desarrollo de capacidades y no como atajo= que oculte d=C3=A9ficits de aprendizaje. En el =C3=A1mbito de publicaci=C3= =B3n, COPE, ICMJE y las editoriales coinciden en transparencia, verificaci= =C3=B3n y responsabilidad humana. La articulaci=C3=B3n de estos enfoques su= giere cuatro principios institucionales: finalidad pedag=C3=B3gica expl=C3= =ADcita, supervisi=C3=B3n humana, verificabilidad y rendici=C3=B3n de cuent= as. La alfabetizaci=C3=B3n en IAG debe abarcar funcionamiento b=C3=A1sico, = l=C3=ADmites, sesgos, privacidad, propiedad intelectual, citaci=C3=B3n y ev= aluaci=C3=B3n de evidencia. Tambi=C3=A9n requiere formaci=C3=B3n docente co= ntinua, porque las decisiones sobre evaluaci=C3=B3n y retroalimentaci=C3=B3= n deben evolucionar al mismo ritmo que las herramientas. La respuesta insti= tucional m=C3=A1s sostenible es una gobernanza adaptable, basada en evidenc= ia y revisi=C3=B3n peri=C3=B3dica de sus lineamientos (Van Dis et al., 2023= ; <a href=3D"https://unesdoc.unesco.org/query?q=3DAutor:%20%22Miao,%= 20Fengchun%22&sf=3Dsf:*&queryDisplay=3DPersona%20autor%3A%20%22Miao= %2C%20Fengchun%20%5Bauthor%5D%22" style=3D"text-decoration:none">Miao</= a> & <a href=3D"https://unesdoc.unesco.org/query?q=3DAutor= :%20%22Holmes,%20Wayne%22&sf=3Dsf:*&queryDisplay=3DPersona%20autor%= 3A%20%22Holmes%2C%20Wayne%20%5Bauthor%5D%22" style=3D"text-decoration:none"= >Ho= lmes</a>, 2023).<sp= an>4.6. Limitaciones de la revisi=C3=B3nLa revisi=C3=B3n pre= senta limitaciones que condicionan el alcance de sus conclusiones. El perio= do principal 2022-2026 concentra la evidencia m=C3=A1s reciente, pero puede= excluir antecedentes pertinentes; la inclusi=C3=B3n de publicaciones en es= pa=C3=B1ol e ingl=C3=A9s restringe la diversidad ling=C3=BC=C3=ADstica; y l= a consulta de bases y sitios institucionales seleccionados no garantiza la = recuperaci=C3=B3n de toda la literatura disponible. Adem=C3=A1s, la combina= ci=C3=B3n de estudios emp=C3=ADricos, revisiones, editoriales y documentos = normativos genera heterogeneidad y no permite estimar efectos mediante meta= an=C3=A1lisis. El campo evoluciona con rapidez, por lo que pol=C3=ADticas, = versiones de modelos y pr=C3=A1cticas educativas pueden cambiar despu=C3=A9= s de la fecha de b=C3=BAsqueda. Asimismo, la ausencia de un registro cuanti= tativo completo del proceso inicial de recuperaci=C3=B3n impide cerrar el d= iagrama PRISMA sin consultar los archivos originales. Por estas razones, lo= s resultados deben entenderse como una s=C3=ADntesis cr=C3=ADtica y actuali= zable, no como una medici=C3=B3n exhaustiva de prevalencia o impacto causal= .5. &= #xa0; Conclusiones</spa= n><sp= an>La revisi=C3=B3n evidenci=C3=B3 que la IAG transforma la escritura acad= =C3=A9mica al ofrecer apoyo para planificar, sintetizar, reformular y revis= ar textos. Estas aplicaciones pueden mejorar la productividad y ampliar el = acceso a recursos de escritura, pero sus beneficios dependen de objetivos p= edag=C3=B3gicos claros, supervisi=C3=B3n humana y verificaci=C3=B3n sistem= =C3=A1tica. La herramienta aporta valor cuando fortalece el proceso intelec= tual; lo debilita cuando reemplaza la b=C3=BAsqueda, el an=C3=A1lisis o la = toma de decisiones del autor.Los principales riesgos se relacionan = con informaci=C3=B3n falsa, referencias inexistentes, sesgos, dependencia t= ecnol=C3=B3gica, p=C3=A9rdida de autonom=C3=ADa y uso no declarado. La inte= gridad cient=C3=ADfica exige que cada afirmaci=C3=B3n relevante pueda rastr= earse hasta una fuente confiable y que los autores humanos respondan por la= exactitud, originalidad y coherencia del manuscrito. En consecuencia, la I= AG no puede asumir autor=C3=ADa ni sustituir la responsabilidad acad=C3=A9m= ica.La ense=C3=B1anza de la redacci=C3=B3n debe evolucionar hacia e= valuaciones centradas en procesos, evidencias de aprendizaje y reflexi=C3= =B3n metacognitiva. Borradores, matrices de fuentes, defensa oral, portafol= ios y declaraciones de uso permiten valorar el razonamiento propio y distin= guir entre asistencia leg=C3=ADtima y sustituci=C3=B3n intelectual. La alfa= betizaci=C3=B3n en IAG debe integrarse con alfabetizaci=C3=B3n informaciona= l, =C3=A9tica y cient=C3=ADfica.Las universidades requieren pol=C3= =ADticas claras, flexibles y revisables que definan usos aceptables, transp= arencia, protecci=C3=B3n de datos y mecanismos de rendici=C3=B3n de cuentas= . La gobernanza responsable no consiste en prohibir de forma generalizada, = sino en asegurar que la innovaci=C3=B3n tecnol=C3=B3gica se subordine a la = formaci=C3=B3n, la integridad y la responsabilidad social de la educaci=C3= =B3n superior.<= span>6. &#= xa0; Conflicto de intereses</= span>= Los autores declaran no tener conflicto de intereses.7. Derechos de autor (copyright)Los autores son = los titulares de los derechos de autor (patrimoniales y/o de explotaci=C3= =B3n) de los contenidos de la revista (copyright).8= . Declaraci=C3=B3n de contribuci=C3=B3n de los autores= Los autores declaran = haber participado de manera equitativa y sustancial en la realizaci=C3=B3n = de esta investigaci=C3=B3n, bajo las responsabilidades seg=C3=BAn la </span= ><a href=3D"https://credit.niso.org/" style=3D"text-decoration:none">Taxonom=C3=ADa CRediT</a> para describir l= as contribuciones individuales de cada autor al trabajo. Fabrizio J= =C3=A1come Viera: conc= eptualizaci=C3=B3n, metodolog=C3=ADa, formulaci=C3=B3n del problema, superv= isi=C3=B3n, an=C3=A1lisis cr=C3=ADtico, elaboraci=C3=B3n del modelo concept= ual y aprobaci=C3=B3n de la versi=C3=B3n final.Gabriela Carrera</sp= an>: investigaci=C3=B3n docum= ental, selecci=C3=B3n y an=C3=A1lisis de fuentes, construcci=C3=B3n del mar= co te=C3=B3rico, interpretaci=C3=B3n de resultados, revisi=C3=B3n acad=C3= =A9mica y validaci=C3=B3n de conclusiones.Erika Reinoso<span= style=3D"font-weight:bold">: an=C3=A1lisis e interpretaci=C3= =B3n, redacci=C3=B3n de secciones, revisi=C3=B3n cr=C3=ADtica, verificaci= =C3=B3n de referencias y consolidaci=C3=B3n de la versi=C3=B3n final.</span= ><spa= n>Todos los autores revisaron y aprobaron el manuscrito y asumen responsabi= lidad por su contenido.Divulgaci=C3=B3n de la delegaci=C3= =B3n a la IA generativaDurante la revisi=C3=B3n editorial y la prep= araci=C3=B3n de esta versi=C3=B3n del manuscrito se utiliz=C3=B3 ChatGPT, c= omo herramienta de apoyo para reorganizar secciones, mejorar la claridad li= ng=C3=BC=C3=ADstica, proponer el resumen y el abstracto, y verificar la con= sistencia formal entre citas y referencias. La selecci=C3=B3n de fuentes, l= a interpretaci=C3=B3n de la evidencia, las decisiones argumentativas, la co= mprobaci=C3=B3n de referencias y la aprobaci=C3=B3n final permanecieron baj= o responsabilidad de los autores humanos. La herramienta no fue considerada= autora ni utilizada como fuente primaria de evidencia.Declaraci= =C3=B3n presentada por: Erika Reinoso Naranjo (autora de correspondencia).<= /span>9. </sp= an>Costos de financiamientoEsta in= vestigaci=C3=B3n no recibi=C3=B3 financiamiento externo.10. Refe= rencias Bibliogr=C3=A1ficasAromataris, E., Loc= kwood, C., Porritt, K., Pilla, B., & Jordan, Z. (2024). JBI Manual for Evidence Synthesis. J= BI. <a href=3D"https://hotus.fi/wp-content/uploads/2025/10/jbi-manua= l-for-evidence-synthesis-nov-2024.pdf" style=3D"text-decoration:none"><span= class=3D"Hyperlink">https://hotus.fi/wp-content/uploads/2025/10/jbi-manual= -for-evidence-synthesis-nov-2024.pdf</a> Bommasani, R., Hudson, D. 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educaci= =C3=B3n superior. Una revisi=C3=B3n integrativa sistematizadaGenerative artificial intelligence and academic writ= ing: ethical challenges, authorship, and scientific integrity in higher edu= cation. A systematized integrative review <table sty= le=3D"width:396.3pt; margin-right:auto; margin-left:auto; padding:0pt; bord= er-collapse:collapse"><tr><td style=3D"width:3.25pt; border:0.75pt solid #0= 00000; padding:0pt 5.03pt; vertical-align:top">1</td><td style=3D"width:17= 1.95pt; border:0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:top= ">Mariano Fabrizio J=C3=A1come Viera</td><td= style=3D"width:10.5pt; border:0.75pt solid #000000; padding:0pt 5.03pt; ve= rtical-align:top"><img src=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAY= AAACNiR0NAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAA2pJREFUOI2tlE= toXVUUhr+197n3nNzbJN6omdTWRmwbikVq4iMxk0ZU2oGgA1FnQcQiUhUnFqo4cGIRQUGd+KDY+= Jp25ouiGCOxElqjhba0URPzsPQmuY9zzj1nLwcnuU1qQif+mzXZe69/rX/tny2sgy9+7mknn99q= rL1TVHcnqu3GyoKxTEhDxpIwuPho79cL6+XKGqKJXXlJS/flCvJUGmu/c9opRpp31KkakXmxjLp= E3p/+Y+bLg/vPRRsSfj7e/6JftIfr1cZ16v5znCVIFsW2XLleTd648Z/863v3nkjWEL59dp/fWS= 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ion:absolute" /> </td><td style=3D"width:166.3= 5pt; border:0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:top"><= p style=3D"line-height:115%; font-size:11pt"><a href=3D"https://orcid.org/0= 009-0008-3721-7461" style=3D"text-decoration:none">https://orcid.org/0009-0008-37= 21-7461</a></td><td style=3D"border-bottom:0.75pt solid #000000;= padding:0pt; vertical-align:top"></td></tr><tr><td style=3D"width:3.25pt; = border:0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:top"> </td><td = colspan=3D"4" style=3D"width:370.7pt; border:0.75pt solid #000000; padding:= 0pt 5.03pt; vertical-align:top">Univers= idad Estatal Amaz=C3=B3nica (UEA), Puyo, Ecuador.<a href=3D"mailto:mf.jacomev@uea.edu.ec" style=3D"text-decor= ation:none">mf.jacomev@uea.edu.ec</a></td></tr><tr><td style=3D"width:= 3.25pt; border:0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:top= ">2= </td><td style=3D"width:171.95pt; border:0.75pt solid #000000; padding:= 0pt 5.03pt; vertical-align:top">Gabriela Natalia Carrer= a Mora</td><td style=3D"width:10.5pt; border:0.75pt solid #00000= 0; padding:0pt 5.03pt; vertical-align:top"><img src=3D"data:image/png;base64,iVBORw0KGg= oAAAANSUhEUgAAABQAAAAUCAYAAACNiR0NAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAAD= sQBlSsOGwAAA2pJREFUOI2tlEtoXVUUhr+197n3nNzbJN6omdTWRmwbikVq4iMxk0ZU2oGgA1Fn= QcQiUhUnFqo4cGIRQUGd+KDY+Jp25ouiGCOxElqjhba0URPzsPQmuY9zzj1nLwcnuU1qQif+mzX= Ze69/rX/tny2sgy9+7mknn99qrL1TVHcnqu3GyoKxTEhDxpIwuPho79cL6+XKGqKJXXlJS/flCv= JUGmu/c9opRpp31KkakXmxjLpE3p/+Y+bLg/vPRRsSfj7e/6JftIfr1cZ16v5znCVIFsW2XLleT= d648Z/863v3nkjWEL59dp/fWSsfzOXNkShKacvfgnMRlXhqXdIVYt83SRS5Q4tp/NbTvScbAAbg= hkp5nx/Yl+PQoamj96YX6O58HAX0qtWUrxDF6rUUvddaJfdws9DwqYFSa0GO1SrpfucUVUXEZEk= 4UheywqMoqgmebcFIHlBEICjYnzR0Dz1y+8icl3Pp9jCUAdUsy9Ggb+srLEVTnJk9xv07j2JNjl= QboEqtMcfk5a/4a+H7rIoTVNkZJu5u4LiHYVCQthVC1FH0N5O6GEToKHQzPv0O04sjWPHpKHRzx= +bnaA+2MTFzFMTSiF17LvB6gOOeIj1mzdwF1RTFNWXX4jkWw0mMeMxXT1GN/+aemw8zeflbKvEU= 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tical-align:top"></td></tr><tr><td style=3D"width:3.25pt; border:0.75pt sol= id #000000; padding:0pt 5.03pt; vertical-align:top"> </td><td colspan=3D"4" sty= le=3D"width:370.7pt; border:0.75pt solid #000000; padding:0pt 5.03pt; verti= cal-align:top">Universidad Estatal Amaz= =C3=B3nica (UEA), Puyo, Ecuador.<a= href=3D"mailto:gn.carreram@uea.edu.ec" style=3D"text-decoration:none"><spa= n class=3D"Hyperlink" style=3D"line-height:115%; font-size:10pt">gn.carrera= m@uea.edu.ec</a></td></tr><tr><td style=3D"width:3.25pt; border:= 0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:top">3</td><td st= yle=3D"width:171.95pt; border:0.75pt solid #000000; padding:0pt 5.03pt; ver= tical-align:top">Erika Mar=C3=ADa Reinoso Naranjo</span= ></td><td style=3D"width:10.5pt; border:0.75pt solid #000000; padding:0= pt 5.03pt; vertical-align:top"><img src=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUg= AAABQAAAAUCAYAAACNiR0NAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAA= 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ailto:em.reinoson@uea.edu.ec" style=3D"text-decoration:none">em.reinoson@uea.edu.= ec</a></td></tr><tr style=3D"height:0pt"><td style=3D"width:14.0= 5pt"></td><td style=3D"width:182.75pt"></td><td style=3D"width:21.3pt"></td= ><td style=3D"width:177.15pt"></td><td style=3D"width:0.3pt"></td></tr></ta= ble> <table style=3D"width:436.35pt; margin-left:0.2= 5pt; padding:0pt; border-collapse:collapse"><tr><td colspan=3D"3" style=3D"= width:156.4pt; padding:0pt 5.4pt; vertical-align:top"><a id=3D"_Hlk92186133"> </span= ></a><s= pan> </td><td colspan=3D"2" style=3D"width:258.35pt; border= -top:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">Ar= t=C3=ADculo de Investigaci=C3=B3n Cient=C3=ADfica y Tecnol=C3=B3gica= Enviado: <= /p>Revisado: <= /p>Aceptado: <= /p>Publicado:<= /p>DOI: </td></tr><tr style=3D"height:6.= 55pt"><td colspan=3D"3" style=3D"width:156.4pt; padding:0pt 5.4pt; vertical= -align:top">&#= xa0; </td><td colspan=3D"2" style=3D"width:258.35pt; border-bo= ttom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">&#= xa0;</td></tr><tr><td style=3D"width:37.8pt; padding:0pt 5.4pt; = vertical-align:top"> C=C3=ADtese: </td><td style=3D"width:1.55= pt; padding:0pt 5.4pt; vertical-align:top"> </= span></td><td colspan=3D"2" style=3D"width:358.55pt; border-bottom:0.75= pt solid #000000; padding:0pt 5.4pt; vertical-align:top"> DATOS REVISTADATOS REVISTADATOS REVISTA</t= d><td style=3D"border-top:0.75pt solid #000000; padding:0pt; vertical-align= :top"></td></tr><tr style=3D"height:0pt"><td style=3D"width:48.6pt"></td><t= d style=3D"width:12.35pt"></td><td style=3D"width:106.25pt"></td><td style= =3D"width:263.1pt"></td><td style=3D"width:6.05pt"></td></tr></table> <img src= =3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAjcAAACMCAYAAACAuogxAAAAB= HNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAIABJREFUeJzsvXd4VFX++P+6M5PM= JJNeCYHQa0LogkgHlyIgVRBBAVGWIEXFL+qigooCugqiiIgi0nsg1IRmIKRA+iST3kjvk2RSZ+b= 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4v1sIveN/X4fJg4d/hVuWuRkzZgybN2/+zUZbtVqNwceARqNBpVLhdEpYzGbqTSYaTKY/1KTr5+= fH4MGDMRgM1NbWkpGRgdPppG/fvjdV6G1EqVTStWtXKisr0ev1tGnThrS0NJKSkggPD2f//v1kZ= mbeVNlVq9Vyxx13EBERQUFBAUqlkqKiImpraxkwYAArV668LjCSy+XMmzfvTyvpevDgwYMHDx7+= NW5JcGM0GnnyySevrpa6yYb+xAqjP0vjvL9eYv7r7f/yf3/98++N5xfHcKPjuNlYhULBm2++ycS= JE3/nKDx48ODBgwcPt4JbEtw4nU7Ky8uxWCw339BfGNzcKv6KfZTJZAQEBKDT6dwNnB48ePDgwY= OHv45bEtx48ODBgwcPHjz8p+BJJXjw4MGDBw8e/qvwBDcePHjw4MGDh/8q/tRS8JycHLcLtwcPH= jx48ODBw/8LNBoNLVu2vOn7fyq4+e67726owuvBgwcPHjx48PB3ER4ezpQpU276vqeh2IMHDx48= ePDwX4Wn58aDBw8ePHjw8F+FJ7jx4MGDBw8ePPxX4QluPHjw4MGDBw//VfxfkrKy3GCTp2MAAAA= ASUVORK5CYII=3D" width=3D"567" height=3D"140" alt=3D"" /><table style= =3D"width:100%; border:0.75pt solid #999999; padding:0pt; border-collapse:c= ollapse"><tr><td style=3D"width:25%; border-right:0.75pt solid #000000; bor= der-bottom:0.75pt solid #000000; padding:0pt 0.12pt; vertical-align:top"><p= style=3D"line-height:115%; font-size:12pt">Palabras clave:<= span>Inteligencia artificial; escritura acad=C3=A9mica; integridad acad=C3= =A9mica; =C3= =A9tica de la investigaci=C3=B3n; educaci=C3=B3n superior.</td><= td style=3D"width:75%; border-left:0.75pt solid #000000; border-bottom:0.75= pt solid #000000; padding:0pt 0.12pt; vertical-align:top">Resumen</span= ><spa= n style=3D"font-weight:bold">Introducci=C3=B3n: la inteligenci= a artificial generativa est=C3=A1 transformando la escritura acad=C3=A9mica= en la educaci=C3=B3n superior al facilitar la organizaci=C3=B3n de ideas, = la s=C3=ADntesis documental y la revisi=C3=B3n ling=C3=BC=C3=ADstica, pero = tambi=C3=A9n introduce riesgos relevantes para la autor=C3=ADa, la transpar= encia y la integridad cient=C3=ADfica, que exigen un an=C3=A1lisis sistem= =C3=A1tico y actualizado. Objetivo:= analizar los aportes, los desaf=C3=ADos =C3=A9ticos y los lin= eamientos internacionales asociados con su uso en la producci=C3=B3n acad= =C3=A9mica universitaria. Metodolog= =C3=ADa: se desarroll=C3=B3 una revisi=C3=B3n integrativa sist= ematizada, de enfoque cualitativo y alcance descriptivo-anal=C3=ADtico, med= iante b=C3=BAsquedas en bases de datos cient=C3=ADficas multidisciplinarias= y la consulta de documentos oficiales publicados principalmente entre 2022= y 2026. La selecci=C3=B3n de fuentes se orient=C3=B3 por criterios expl=C3= =ADcitos de pertinencia, calidad metodol=C3=B3gica y actualidad; la informa= ci=C3=B3n se organiz=C3=B3 en una matriz de extracci=C3=B3n y se examin=C3= =B3 mediante an=C3=A1lisis tem=C3=A1tico y comparaci=C3=B3n cr=C3=ADtica en= tre evidencia emp=C3=ADrica y lineamientos normativos. Resultados: los resultados evidenciaron = beneficios en productividad, apoyo a la escritura y acceso al conocimiento,= junto con riesgos de alucinaciones, referencias inexistentes, dependencia = tecnol=C3=B3gica, plagio y opacidad en la atribuci=C3=B3n de contribuciones= . Existe consenso en que la inteligencia artificial no puede asumir autor= =C3=ADa y que su empleo debe declararse expl=C3=ADcitamente y permanecer ba= jo supervisi=C3=B3n humana. Conclus= i=C3=B3n: su integraci=C3=B3n responsable exige alfabetizaci= =C3=B3n en inteligencia artificial, verificaci=C3=B3n rigurosa de fuentes, = evaluaci=C3=B3n centrada en procesos formativos y pol=C3=ADticas institucio= nales claras y actualizables. =C3= =81rea de estudio general: Educaci=C3=B3n. =C3=81rea de estudio espec=C3=ADfica: Ed= ucaci=C3=B3n superior. Tipo de estu= dio: Revisi=C3=B3n bibliogr=C3=A1fica sistem=C3=A1tica (revisi= =C3=B3n integrativa sistematizada)</td></tr><tr><td style=3D"bor= der-top:0.75pt solid #000000; border-right:0.75pt solid #000000; padding:0p= t 0.12pt; vertical-align:top">Keywords:Artificial intelligence; academic writing; a= cademic integrity; research ethics; higher education.</td><td st= yle=3D"border-top:0.75pt solid #000000; border-left:0.75pt solid #000000; p= adding:0pt 0.12pt; vertical-align:top">AbstractIntroduction: generative artificial intelligence is= transforming academic writing into higher education by facilitating idea o= rganization, document synthesis, and language revision; however, it also in= troduces risks to authorship, transparency, and scientific integrity. </spa= n>Objective: to analyze the c= ontributions, ethical challenges, and international guidelines associated w= ith its use in university academic production. Methodology: a systematized integrative review wit= h a descriptive-analytical scope was conducted through searches in scientif= ic databases and consultation of official documents published between 2022 = and 2026. Selection was guided by explicit criteria of relevance, quality, = and currency; information was organized in an extraction matrix and examine= d through thematic analysis and critical comparison. Results: the results identified benefits for= productivity, writing support, and access to knowledge, together with risk= s involving hallucinations, non-existent references, technological dependen= ce, plagiarism, and opaque attribution. There is broad agreement that artif= icial intelligence cannot qualify as an author and that its use must be dis= closed and remain under human supervision. Conclusion: responsible integration requires artificia= l intelligence literacy, rigorous source verification, process-oriented ass= essment, and clear institutional policies. General Area of Study: Education. Specific area of study: Higher education= . Type of study: Syste= matic literature review (systematized integrative review)</td></= tr></table>1. &#= xa0; Introducci=C3=B3n<= /span>La inteligencia art= ificial generativa (IAG) constituye uno de los avances tecnol= =C3=B3gicos m=C3=A1s disruptivos de las =C3=BAltimas d=C3=A9cadas, al trans= formar la manera en que las personas producen, procesan y comunican informa= ci=C3=B3n. Los modelos fundacionales y los grandes modelos de lenguaje perm= iten generar textos, sintetizar documentos, traducir, programar y apoyar ta= reas de investigaci=C3=B3n, lo que ha modificado los procesos de ense=C3=B1= anza, aprendizaje y comunicaci=C3=B3n cient=C3=ADfica (Bommasani et al., 20= 21; Kasneci et al., 2023). Estas posibilidades incrementan la productividad= acad=C3=A9mica, pero plantean desaf=C3=ADos relacionados con la exactitud,= la transparencia, la autor=C3=ADa intelectual y la responsabilidad sobre e= l contenido generado. Est= e proceso se inscribe en una trayectoria previa de incorporaci=C3=B3n de la= inteligencia artificial en la educaci=C3=B3n superior (Zawacki-Richter et = al., 2019). La Figura 1 <spa= n>muestra la s=C3=ADntesis organiza los principales aportes, riesgos y salv= aguardas vinculados con una escritura acad=C3=A9mica responsable.</p= >Figura 1IA generativa y escritura acad=C3=A9mica<img src= =3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAdIAAAEYCAYAAADoE3fkAAAAB= HNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAIABJREFUeJzsnXdgHMX1+D+7t3cn= 6dR7sSSrWZJ77xXbuIDBQAKBQCAhCSG994SEJN8kpBIgIYQQIOBQTTG49y53W7Jsy7JkWb1L18v= uzu+PPZ0lS6bE4Zfi+/xj625v9u3M7Lx5b97Mk4QQgjBhwoQJEybMP4X87xYgTJgwYcKE+W8mrE= jDhAkTJkyYKyCsSMOECRMmTJgrIKxIw4QJEyZMmCsgrEjDhAkTJkyYKyCsSMOECRMmTJgrIKxIw= 4QJEyZMmCsgrEjDhAkTJkyYKyCsSMOECRMmTJgrIKxIw4QJEyZMmCsgrEjDhAkTJkyYK0D5dwsQ= JkyYMGEGIgBd10GALEtIkvTvFinMO3BVKFIhBKGj+SWQL9MpB1wHSBLhDvwBo6oamq4DxoBhVq6= KLvlvRdd1VE03BmokrBYl3M8/YHQh0DQdTdMAMJsVTPLQDkFdF/TYnbyxuQyLorB4zgRSk+L+tf= LoAk3X0DTj3bOYzchyuA/8s1wVo1aP3UVNfQtCF8iyzPiReciXdGIhBNXnm+l1uCA4qOflpBMfY= wsPMv8kQoAu9NDLajLJyJJM/+pcu/0Qf3p+HUIIli+YzBfuXkG4tj9Y/AGNu7/+O7p6nciyxNq/= 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RU5ErkJggg=3D=3D" width=3D"466" height=3D"280" alt=3D"" />Nota:</s= pan> relaci=C3=B3n existente entre la IA generativa y la escritura ac= ad=C3=A9mica; esto a modo de resumen gr=C3=A1fico del presente documento. <= /span>Fuente: elaborado en ba= se a la revisi=C3=B3n documental (Bommasani et al., 2021; Kasneci et al., 2= 023; Dwivedi et al., 2023). Este fen=C3=B3meno no = puede comprenderse como un simple cambio instrumental, sino como una reconf= iguraci=C3=B3n m=C3=A1s amplia de las pr=C3=A1cticas de producci=C3=B3n de = conocimiento. La rapidez con que estas herramientas se han integrado en con= textos acad=C3=A9micos, editoriales y profesionales ha superado, en muchos = casos, la capacidad de las instituciones para establecer criterios normativ= os claros, lo que genera zonas de incertidumbre respecto de su uso leg=C3= =ADtimo.En el =C3=A1mbito universitario, la escritura acad=C3=A9mic= a es una competencia transversal para construir argumentos fundamentados, c= omunicar resultados de investigaci=C3=B3n y participar en la producci=C3=B3= n de conocimiento. Su calidad depende no solo del dominio ling=C3=BC=C3=ADs= tico y metodol=C3=B3gico, sino tambi=C3=A9n de procesos cognitivos vinculad= os con el pensamiento cr=C3=ADtico, la evaluaci=C3=B3n de evidencias, la to= ma de decisiones y la reflexi=C3=B3n =C3=A9tica (Hyland, 2019). Por ello, l= a incorporaci=C3=B3n de herramientas generativas no puede evaluarse =C3=BAn= icamente desde la eficiencia t=C3=A9cnica, sino desde su efecto sobre el ap= rendizaje, la autonom=C3=ADa intelectual y la formaci=C3=B3n investigativa.= Las instituciones de educaci=C3=B3n superior han debido revisar sus= pol=C3=ADticas y estrategias formativas ante la r=C3=A1pida adopci=C3=B3n = de estas herramientas. La UNESCO propone un enfoque centrado en el ser huma= no, basado en protecci=C3=B3n de datos, equidad, supervisi=C3=B3n humana, t= ransparencia y desarrollo de capacidades; de manera complementaria (= <a href=3D"https://unesdoc.unesco.org/query?q=3DAutor:%20%22Miao,%20Fengchu= n%22&sf=3Dsf:*&queryDisplay=3DPersona%20autor%3A%20%22Miao%2C%20Fen= gchun%20%5Bauthor%5D%22" style=3D"text-decoration:none">Miao</a> = & <a href=3D"https://unesdoc.unesco.org/query?q=3DAutor:%20%22Ho= lmes,%20Wayne%22&sf=3Dsf:*&queryDisplay=3DPersona%20autor%3A%20%22H= olmes%2C%20Wayne%20%5Bauthor%5D%22" style=3D"text-decoration:none">Holmes</spa= n></a>, 2023), la Organisati= on for Economic Co-operation and Development (OECD, 2026) dest= aca que la IAG debe actuar como apoyo al aprendizaje y no como sustituto de= l esfuerzo cognitivo.<span= style=3D"font-style:italic">1.1. Antecedentes y estado actual del conocimientoLa literatura s= e=C3=B1ala que la IAG puede contribuir a la planificaci=C3=B3n, organizaci= =C3=B3n y revisi=C3=B3n de textos, a la generaci=C3=B3n de alternativas exp= resivas, a la traducci=C3=B3n especializada y a la retroalimentaci=C3=B3n d= urante la escritura, siempre que el usuario conserve el control intelectual= del proceso (Dwivedi et al., 2023; Kasneci et al., 2023; Salvagno et al., = 2023). Su valor pedag=C3=B3gico aumenta cuando se utiliza como andamiaje pa= ra revisar decisiones argumentativas y no como mecanismo de sustituci=C3=B3= n de la autor=C3=ADa humana.Estos hallazgos sugieren que el efecto = de la IAG sobre la escritura acad=C3=A9mica depende decisivamente del prop= =C3=B3sito con que se emplea y del grado de involucramiento cr=C3=ADtico qu= e mantiene el usuario. Cuando la herramienta se utiliza para explorar posib= ilidades expresivas o verificar la claridad de un argumento ya construido, = su aporte tiende a ser positivo; cuando sustituye directamente el proceso d= e razonamiento, los beneficios pedag=C3=B3gicos se debilitan.Los ri= esgos m=C3=A1s frecuentes se relacionan con respuestas plausibles pero inco= rrectas, datos fabricados, referencias inexistentes, reproducci=C3=B3n de s= esgos y dificultad para diferenciar textos humanos de contenidos generados = autom=C3=A1ticamente. Estudios emp=C3=ADricos han mostrado que los modelos = pueden producir res=C3=BAmenes cient=C3=ADficos convincentes con informaci= =C3=B3n completamente inventada, mientras que la literatura sobre integrida= d advierte que su uso no declarado puede facilitar pr=C3=A1cticas de apropi= aci=C3=B3n indebida o fraude acad=C3=A9mico (Gao et al., 2023; Eke, 2023; C= otton et al., 2024).La autor=C3=ADa cient=C3=ADfica implica contrib= uci=C3=B3n intelectual, aprobaci=C3=B3n de la versi=C3=B3n final, responsab= ilidad y capacidad para responder por la exactitud e integridad del trabajo= . Debido a que los sistemas de IA no pueden asumir responsabilidad =C3=A9ti= ca ni jur=C3=ADdica, no cumplen los criterios de autor=C3=ADa y su interven= ci=C3=B3n debe declararse de forma transparente (COPE Council, 2023; </span= >International Committee of Medical Journ= al Editors [ICMJE], 2026). Las pol=C3=ADticas editoriales coin= ciden, adem=C3=A1s, en que los autores humanos deben verificar la informaci= =C3=B3n, preservar la confidencialidad y mantener el control sobre las deci= siones cient=C3=ADficas (Elsevier, 2026; Editorials Nature, 2023).1.2.<spa= n style=3D"font-style:italic"> Problema, vac=C3=ADo de conocimiento y justi= ficaci=C3=B3nLa literatura reciente ha examinado ampliamente las op= ortunidades educativas de los grandes modelos de lenguaje, los riesgos de i= ntegridad acad=C3=A9mica y las pol=C3=ADticas editoriales sobre autor=C3=AD= a; sin embargo, estos componentes suelen presentarse de manera fragmentada.= Persiste la necesidad de una s=C3=ADntesis que articule, en un mismo marco= anal=C3=ADtico, los aportes de la IAG a la escritura acad=C3=A9mica, los r= iesgos para la autor=C3=ADa y la integridad cient=C3=ADfica, las exigencias= de transparencia editorial y las implicaciones pedag=C3=B3gicas para la en= se=C3=B1anza universitaria (Dwivedi et al., 2023; Kasneci et al., 2023; Eke= , 2023).Esta fragmentaci=C3=B3n dificulta que docentes, investigado= res y responsables de pol=C3=ADtica institucional cuenten con criterios int= egrados para orientar decisiones concretas, ya que la evidencia disponible = suele abordar por separado la dimensi=C3=B3n pedag=C3=B3gica, la dimensi=C3= =B3n =C3=A9tica y la dimensi=C3=B3n editorial del fen=C3=B3meno. Reunir est= as perspectivas en un marco com=C3=BAn permite identificar convergencias y = tensiones que, de otro modo, permanecer=C3=ADan dispersas entre disciplinas= y tipos de fuente.La investigaci=C3=B3n se justifica por su releva= ncia cient=C3=ADfica, al sistematizar evidencia multidisciplinaria; por su = pertinencia educativa, al orientar estrategias de ense=C3=B1anza de la escr= itura; y por su utilidad institucional, al proporcionar criterios para pol= =C3=ADticas sobre uso responsable, verificaci=C3=B3n de fuentes y declaraci= =C3=B3n de herramientas. Su aporte consiste en integrar la dimensi=C3=B3n t= ecnol=C3=B3gica con la responsabilidad autoral y la formaci=C3=B3n =C3=A9ti= ca, evitando tanto una visi=C3=B3n prohibicionista como una aceptaci=C3=B3n= acr=C3=ADtica de la IAG.<= span style=3D"font-style:italic">1.3. Objetivo del art=C3=ADculoEl objetivo general fue analiz= ar los desaf=C3=ADos =C3=A9ticos, de autor=C3=ADa e integridad cient=C3=ADf= ica asociados con el uso de la inteligencia artificial generativa en la esc= ritura acad=C3=A9mica dentro de la educaci=C3=B3n superior, mediante una re= visi=C3=B3n integrativa sistematizada de literatura cient=C3=ADfica y linea= mientos internacionales, con el prop=C3=B3sito de identificar buenas pr=C3= =A1cticas para su utilizaci=C3=B3n responsable.De manera espec=C3= =ADfica, se busc=C3=B3: a) identificar los principales aportes de la IAG a = la escritura acad=C3=A9mica; b) examinar los riesgos relacionados con autor= =C3=ADa, plagio, transparencia e integridad cient=C3=ADfica; c) analizar re= comendaciones de organismos internacionales y editoriales cient=C3=ADficas;= y d) proponer orientaciones para fortalecer una escritura universitaria cr= =C3=ADtica, verificable y responsable. Este conjunto de prop=C3=B3sitos per= mite abordar el fen=C3=B3meno desde una perspectiva integral, que combina d= escripci=C3=B3n de usos, valoraci=C3=B3n cr=C3=ADtica de sus principales ri= esgos y formulaci=C3=B3n de orientaciones institucionales, pedag=C3=B3gicas= y editoriales.2.= Met= odolog=C3=ADaSe desarroll=C3=B3 una revisi=C3=B3n integrativa siste= matizada, con enfoque cualitativo y alcance descriptivo-anal=C3=ADtico. Est= e dise=C3=B1o fue seleccionado porque permite reunir art=C3=ADculos emp=C3= =ADricos, revisiones, aportes conceptuales y documentos normativos, conserv= ando un procedimiento expl=C3=ADcito de b=C3=BAsqueda, valoraci=C3=B3n, s= =C3=ADntesis e interpretaci=C3=B3n. La elecci=C3=B3n se fundament=C3=B3 en = la tipolog=C3=ADa de revisiones y el marco SALSA (Search, Appraisal, Synthesis and= Analysis), as=C3=AD como en las orientaciones para revisiones= integrativas y revisiones de literatura como metodolog=C3=ADa de investiga= ci=C3=B3n (Grant & Booth, 2009; Whittemore & Knafl, 2005; Snyder, 2= 019). La pregunta orientadora fue: =C2=BFcu=C3=A1les son los principales ap= ortes, riesgos =C3=A9ticos, criterios de autor=C3=ADa y lineamientos de int= egridad cient=C3=ADfica asociados con el uso de inteligencia artificial gen= erativa en la escritura acad=C3=A9mica de la educaci=C3=B3n superior? Debid= o a la heterogeneidad conceptual y metodol=C3=B3gica de las fuentes, no se = plante=C3=B3 un metaan=C3=A1lisis; la s=C3=ADntesis fue interpretativa y te= m=C3=A1tica.2.1. Fu= entes de informaci=C3=B3n y periodo de b=C3=BAsquedaLa b=C3=BAsqued= a documental se efectu=C3=B3 entre junio y julio de 2026 y se actualiz=C3= =B3 el 31 de julio de 2026. Se consultaron Scopus, Web of Science, ERIC, ScienceDirect, SpringerLink, Wiley O= nline Library y Taylor & Francis Online. Para complementar= la evidencia cient=C3=ADfica se revisaron documentos oficiales de <= span style=3D"font-style:italic">UNESCO, OECD, Committee on Publication Eth= ics (COPE), International Committee of Medical Journal Editors (ICMJE)</spa= n> y pol=C3=ADticas editoriales de casas acad=C3=A9micas reconocidas.= La combinaci=C3=B3n de bases multidisciplinarias y fuentes institucionales= respondi=C3=B3 a la necesidad de integrar evidencia educativa, tecnol=C3= =B3gica, =C3=A9tica y editorial. El periodo principal de inclusi=C3=B3n tem= =C3=A1tica fue 2022-2026, por corresponder a la expansi=C3=B3n p=C3=BAblica= de la IAG. Se incorporaron, de manera excepcional, trabajos anteriores con= siderados fundamentales para el marco conceptual o metodol=C3=B3gico, como = estudios sobre inteligencia artificial en educaci=C3=B3n superior, escritur= a acad=C3=A9mica y m=C3=A9todos de revisi=C3=B3n.2.2.= Estrategia de b=C3=BAsqueda<p= style=3D"text-align:justify; line-height:115%; font-size:12pt">La es= trategia combin=C3=B3 t=C3=A9rminos libres en ingl=C3=A9s y espa=C3=B1ol me= diante los operadores booleanos AND y OR. La cadena matriz en ingl=C3=A9s f= ue: *("generative artificial intel= ligence" OR "large language model*" OR ChatGPT OR "AI-assisted writing") AN= D ("academic writing" OR "scientific writing") AND (ethic* OR authorship OR= "academic integrity" OR "research integrity") AND ("higher education" OR u= niversit*) *. La cadena matriz en espa=C3=B1ol fue: *("intelig= encia artificial generativa" OR "modelos de lenguaje" OR ChatGPT OR "escrit= ura asistida por IA") AND ("escritura acad=C3=A9mica" OR "escritura cient= =C3=ADfica") AND (=C3=A9tica OR autor=C3=ADa OR "integridad acad=C3=A9mica"= OR "integridad cient=C3=ADfica") AND ("educaci=C3=B3n superior" OR univers= idad*)*Las expresiones se ajustaron a los campos de t=C3=ADtulo, re= sumen y palabras clave, as=C3=AD como a la sintaxis y filtros de cada plata= forma. Para mejorar la transparencia y reproducibilidad del reporte se cons= ideraron los componentes de PRISMA 2020 y la extensi=C3=B3n PRISMA-S para b= =C3=BAsquedas bibliogr=C3=A1ficas (Page et al., 2021; Rethlefsen et al., 20= 21).2.3. Criterios = de inclusi=C3=B3n y exclusi=C3=B3nLos criterios se definieron antes= de la lectura a texto completo para reducir decisiones ad hoc y mantener c= oherencia con el objetivo de la revisi=C3=B3n.Criterios de inclusi=C3=B3n<ul style=3D"margin:0pt; paddi= ng-left:0pt"><li class=3D"ListParagraph" style=3D"margin-left:17.63pt; text= -align:justify; line-height:115%; padding-left:3.67pt; font-family:serif; f= ont-size:12pt">Art=C3=ADculos= cient=C3=ADficos revisados por pares, revisiones y estudios bibliom=C3=A9t= ricos relacionados con IAG, escritura acad=C3=A9mica, autor=C3=ADa o integr= idad cient=C3=ADfica.</li><li class=3D"ListParagraph" style=3D"margi= n-left:17.63pt; text-align:justify; line-height:115%; padding-left:3.67pt; = font-family:serif; font-size:12pt">Documentos t=C3=A9cnicos, recomendaciones y pol=C3=ADticas emitidos p= or organismos internacionales, comit=C3=A9s editoriales o editoriales cient= =C3=ADficas reconocidas.</li><li class=3D"ListParagraph" style=3D"ma= rgin-left:17.63pt; text-align:justify; line-height:115%; padding-left:3.67p= t; font-family:serif; font-size:12pt">Publicaciones en espa=C3=B1ol o ingl=C3=A9s, con texto completo di= sponible y datos bibliogr=C3=A1ficos verificables.</li><li class=3D"= ListParagraph" style=3D"margin-left:17.63pt; text-align:justify; line-heigh= t:115%; padding-left:3.67pt; font-family:serif; font-size:12pt">Fuentes publicadas principalmente entre = 2022 y 2026, con admisi=C3=B3n de antecedentes conceptuales o metodol=C3=B3= gicos seminales anteriores.</li><li class=3D"ListParagraph" style=3D= "margin-left:17.63pt; text-align:justify; line-height:115%; padding-left:3.= 67pt; font-family:serif; font-size:12pt">Trabajos centrados en educaci=C3=B3n superior, investigaci=C3= =B3n, comunicaci=C3=B3n cient=C3=ADfica o formaci=C3=B3n en escritura acad= =C3=A9mica.</li></ul>Criterios de exclusi= =C3=B3n<ul style=3D"margin:0pt; padding-left:0pt"><li class=3D"L= istParagraph" style=3D"margin-left:17.63pt; text-align:justify; line-height= :115%; padding-left:3.67pt; font-family:serif; font-size:12pt">Noticias, entradas de blogs, contenidos = comerciales o textos de opini=C3=B3n sin respaldo acad=C3=A9mico o instituc= ional.</li><li class=3D"ListParagraph" style=3D"margin-left:17.63pt;= text-align:justify; line-height:115%; padding-left:3.67pt; font-family:ser= if; font-size:12pt">Documento= s duplicados o versiones preliminares cuando se dispuso de una versi=C3=B3n= final publicada.</li><li class=3D"ListParagraph" style=3D"margin-le= ft:17.63pt; text-align:justify; line-height:115%; padding-left:3.67pt; font= -family:serif; font-size:12pt">Estudios exclusivamente t=C3=A9cnicos sobre arquitectura o entrenamiento = de modelos sin relaci=C3=B3n con educaci=C3=B3n, escritura o integridad.</s= pan></li><li class=3D"ListParagraph" style=3D"margin-left:17.63pt; text-ali= gn:justify; line-height:115%; padding-left:3.67pt; font-family:serif; font-= size:12pt">Publicaciones sin = acceso al texto completo, sin autor=C3=ADa identificable o con referencias = imposibles de verificar.</li><li class=3D"ListParagraph" style=3D"ma= rgin-left:17.63pt; text-align:justify; line-height:115%; padding-left:3.67p= t; font-family:serif; font-size:12pt">Trabajos cuya contribuci=C3=B3n no respond=C3=ADa a la pregunta de= revisi=C3=B3n.</li></ul><span= style=3D"font-style:italic">2.4. Proceso de selecci=C3=B3n documentalLa selecci=C3=B3n se des= arroll=C3=B3 en cuatro fases: identificaci=C3=B3n de registros; depuraci=C3= =B3n de duplicados mediante coincidencia de t=C3=ADtulo, DOI y autor=C3=ADa= ; cribado de t=C3=ADtulos y res=C3=BAmenes; y lectura a texto completo. En = la fase final se valoraron la pertinencia respecto de la pregunta, la actua= lidad, la claridad metodol=C3=B3gica, la procedencia editorial y la contrib= uci=C3=B3n al an=C3=A1lisis. El equipo autor revis=C3=B3 de forma colegiada= la elegibilidad de las fuentes y resolvi=C3=B3 las diferencias mediante di= scusi=C3=B3n y consenso. Las fuentes incluidas se organizaron en un registr= o de trazabilidad con informaci=C3=B3n sobre base de datos, t=C3=A9rmino de= b=C3=BAsqueda, fecha de consulta, decisi=C3=B3n de inclusi=C3=B3n o exclus= i=C3=B3n y motivo correspondiente. Este procedimiento se aline=C3=B3 con lo= s principios de transparencia de PRISMA 2020, PRISMA-S y el JBI Manual for Evidenc= e Synthesis (Page et al., 2021; Rethlefsen et al., 2021; Aroma= taris et al., 2024).2.5. Extracci=C3=B3n, valoraci=C3=B3n y an=C3=A1lisis de la informaci=C3= =B3nLa extracci=C3=B3n se realiz=C3=B3 mediante una matriz que regi= str=C3=B3: autor=C3=ADa, a=C3=B1o, pa=C3=ADs o alcance institucional, tipo = de documento, objetivo, dise=C3=B1o metodol=C3=B3gico, aplicaciones de la I= AG, riesgos identificados, criterios de autor=C3=ADa, recomendaciones de tr= ansparencia y contribuci=C3=B3n al estudio. La matriz permiti=C3=B3 compara= r fuentes de naturaleza distinta y mantener una cadena de evidencia entre l= os documentos y las categor=C3=ADas interpretativas.La valoraci=C3= =B3n de calidad y credibilidad consider=C3=B3 cinco criterios: a) arbitraje= cient=C3=ADfico o autoridad institucional; b) claridad del objetivo y del = m=C3=A9todo; c) actualidad y pertinencia tem=C3=A1tica; d) coherencia entre= evidencia y conclusiones; y e) disponibilidad de DOI o enlace instituciona= l estable. En los documentos normativos se priorizaron la competencia del o= rganismo emisor, la vigencia y la aplicabilidad al =C3=A1mbito acad=C3=A9mi= co. Esta valoraci=C3=B3n se inspir=C3=B3 en principios de s=C3=ADntesis rig= urosa y trazable propuestos por JBI y por la literatura metodol=C3=B3gica s= obre revisiones (Aromataris et al., 2024; Snyder, 2019). El an=C3=A1lisis s= igui=C3=B3 una l=C3=B3gica tem=C3=A1tica: lectura comprensiva, codificaci= =C3=B3n inicial, agrupaci=C3=B3n de c=C3=B3digos, revisi=C3=B3n de categor= =C3=ADas, definici=C3=B3n de temas y elaboraci=C3=B3n de la s=C3=ADntesis. = Estas fases se fundamentaron en el an=C3=A1lisis tem=C3=A1tico de Braun &am= p; Clarke (2006). Las categor=C3=ADas finales fueron: transformaci=C3=B3n d= e la escritura acad=C3=A9mica; beneficios y aplicaciones; riesgos de integr= idad; autor=C3=ADa y responsabilidad; transparencia y declaraci=C3=B3n del = uso de IA; implicaciones pedag=C3=B3gicas; y orientaciones institucionales.= La s=C3=ADntesis comparativa identific=C3=B3 coincidencias, divergencias, = vac=C3=ADos y relaciones entre la evidencia emp=C3=ADrica y los lineamiento= s normativos. No se calcularon tama=C3=B1os de efecto ni se ponderaron esta= d=C3=ADsticamente los resultados, debido a la heterogeneidad de dise=C3=B1o= s y al predominio de fuentes cualitativas, conceptuales y regulatorias.</sp= an>2.6. Rigor, =C3=A9tica = y transparenciaPara fortalecer el rigor se verificaron t=C3=ADtulos= , autor=C3=ADa, a=C3=B1o, revista, DOI y enlaces institucionales; se descar= taron referencias no localizables y se priorizaron fuentes originales o p= =C3=A1ginas oficiales. La trazabilidad se sostuvo mediante la matriz de ext= racci=C3=B3n y el registro de decisiones. En concordancia con PRISMA-S, la = estrategia de b=C3=BAsqueda se report=C3=B3 con t=C3=A9rminos, operadores, = fuentes y fecha de actualizaci=C3=B3n (Rethlefsen et al., 2021). La investi= gaci=C3=B3n no involucr=C3=B3 participantes humanos, datos personales ni ex= perimentaci=C3=B3n, por lo que no requiri=C3=B3 consentimiento informado ni= aprobaci=C3=B3n de un comit=C3=A9 de =C3=A9tica. Se respetaron la propieda= d intelectual, la atribuci=C3=B3n de fuentes y la responsabilidad humana so= bre el manuscrito. Las recomendaciones vigentes establecen que la IA no pue= de figurar como autora, que su utilizaci=C3=B3n debe declararse y que los a= utores deben verificar la exactitud, originalidad y validez del contenido (= COPE Council, 2023; ICMJE, 2026).3. ResultadosEl corpus tem=C3=A1tico central qued=C3=B3= conformado por 18 fuentes de alcance internacional: ocho art=C3=ADculos ci= ent=C3=ADficos revisados por pares, dos aportes acad=C3=A9micos de car=C3= =A1cter editorial o reflexivo, dos informes o documentos t=C3=A9cnicos, un = libro especializado y cinco gu=C3=ADas o pol=C3=ADticas institucionales. Pr= edominaron las publicaciones en ingl=C3=A9s y los trabajos aparecidos desde= 2023, lo que refleja el car=C3=A1cter reciente y acelerado del fen=C3=B3me= no. Las =C3=A1reas con mayor presencia fueron educaci=C3=B3n superior, comu= nicaci=C3=B3n cient=C3=ADfica, =C3=A9tica de la publicaci=C3=B3n, investiga= ci=C3=B3n y gobernanza de la inteligencia artificial. Los antecedentes ante= riores a 2022 cumplieron una funci=C3=B3n contextual: fundamentaron la escr= itura acad=C3=A9mica, la trayectoria de la inteligencia artificial en educa= ci=C3=B3n superior y el dise=C3=B1o metodol=C3=B3gico de la revisi=C3=B3n. = La evidencia reciente, en cambio, se concentr=C3=B3 en la irrupci=C3=B3n de= los modelos generativos, sus usos en producci=C3=B3n textual, los riesgos = de integridad y la respuesta de organismos y editoriales. Como se muestra en la Tabla 1, las fuentes centrales re=C3=BAn= en aportes conceptuales, evidencia emp=C3=ADrica y lineamientos institucion= ales utilizados en el an=C3=A1lisis.Tabla 1S=C3=ADntesis de fuen= tes centrales y su aporte al estudio<table style=3D"width:100%; = padding:0pt; border-collapse:collapse"><tr><td style=3D"border-top:0.75pt s= olid #000000; border-bottom:0.75pt solid #000000; padding:0pt 0.5pt; vertic= al-align:top">Refere= ncia</td><td style=3D"border-top:0.75pt solid #000000; border-bo= ttom:0.75pt solid #000000; padding:0pt 0.5pt; vertical-align:top">Principal aporte<= /td><td style=3D"border-top:0.75pt solid #000000; border-bottom:0.75pt soli= d #000000; padding:0pt 0.5pt; vertical-align:top">Aplicaci=C3=B3n en este estudio</t= d></tr><tr><td style=3D"border-top:0.75pt solid #000000; border-bottom:0.75= pt solid #000000; padding:0pt 0.5pt; vertical-align:top">Bommasani et al. (2021)</td><td style=3D"borde= r-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt= 0.5pt; vertical-align:top">Oportunidad= es y riesgos de los modelos fundacionales.</td><td style=3D"bord= er-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0p= t 0.5pt; vertical-align:top">Marco conc= eptual de la IAG.</td></tr><tr><td style=3D"border-top:0.75pt so= lid #000000; border-bottom:0.75pt solid #000000; padding:0pt 0.5pt; vertica= l-align:top">Kasneci et al. (2023)</spa= n></td><td style=3D"border-top:0.75pt solid #000000; border-bottom:0.75= pt solid #000000; padding:0pt 0.5pt; vertical-align:top">Potencial educativo y limitaciones de los grandes modelos= de lenguaje.</td><td style=3D"border-top:0.75pt solid #000000; = border-bottom:0.75pt solid #000000; padding:0pt 0.5pt; vertical-align:top">= Aplicaciones y supervisi=C3=B3n pedag= =C3=B3gica.</td></tr><tr><td style=3D"border-top:0.75pt solid #0= 00000; border-bottom:0.75pt solid #000000; padding:0pt 0.5pt; vertical-alig= n:top">Dwivedi et al. (2023)= </td><td style=3D"border-top:0.75pt solid #000000; border-bottom:0.75pt sol= id #000000; padding:0pt 0.5pt; vertical-align:top">An=C3=A1lisis multidisciplinario de oportunidades y desaf=C3=AD= os de ChatGPT.</td><td style=3D"border-top:0.75pt solid #000000;= border-bottom:0.75pt solid #000000; padding:0pt 0.5pt; vertical-align:top"= >Discusi=C3=B3n =C3=A9tica y cient=C3= =ADfica.</td></tr><tr><td style=3D"border-top:0.75pt solid #0000= 00; border-bottom:0.75pt solid #000000; padding:0pt 0.5pt; vertical-align:t= op">Gao et al. (2023)</td><t= d style=3D"border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000= 000; padding:0pt 0.5pt; vertical-align:top"><= span>Evidencia emp=C3=ADrica sobre textos cient=C3=ADficos plausibles con d= atos fabricados.</td><td style=3D"border-top:0.75pt solid #00000= 0; border-bottom:0.75pt solid #000000; padding:0pt 0.5pt; vertical-align:to= p">Riesgos de exactitud y verificaci=C3= =B3n.</td></tr><tr><td style=3D"border-top:0.75pt solid #000000;= border-bottom:0.75pt solid #000000; padding:0pt 0.5pt; vertical-align:top"= >Eke (2023)</td><td style=3D= "border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; paddi= ng:0pt 0.5pt; vertical-align:top">Amena= zas de la IAG para la integridad acad=C3=A9mica.</td><td style= =3D"border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; pa= dding:0pt 0.5pt; vertical-align:top">Pl= agio, responsabilidad y gobernanza.</td></tr><tr><td style=3D"bo= rder-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:= 0pt 0.5pt; vertical-align:top">Cotton e= t al. (2024)</td><td style=3D"border-top:0.75pt solid #000000; b= order-bottom:0.75pt solid #000000; padding:0pt 0.5pt; vertical-align:top"><= p style=3D"line-height:115%">Implicaciones de ChatGPT para evaluaci= =C3=B3n e integridad universitaria.</td><td style=3D"border-top:= 0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 0.5pt= ; vertical-align:top">Orientaciones doc= entes y de evaluaci=C3=B3n.</td></tr><tr><td style=3D"border-top= :0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 0.5p= t; vertical-align:top"><a href=3D"https://une= sdoc.unesco.org/query?q=3DAutor:%20%22Miao,%20Fengchun%22&sf=3Dsf:*&= ;queryDisplay=3DPersona%20autor%3A%20%22Miao%2C%20Fengchun%20%5Bauthor%5D%2= 2" style=3D"text-decoration:none">Miao</a> & <a href= =3D"https://unesdoc.unesco.org/query?q=3DAutor:%20%22Holmes,%20Wayne%22&= ;sf=3Dsf:*&queryDisplay=3DPersona%20autor%3A%20%22Holmes%2C%20Wayne%20%= 5Bauthor%5D%22" style=3D"text-decoration:none">Holmes</a> (2023)<= /span></td><td style=3D"border-top:0.75pt solid #000000; border-bottom:= 0.75pt solid #000000; padding:0pt 0.5pt; vertical-align:top">Enfoque humano, =C3=A9tico y regulatorio para educaci= =C3=B3n e investigaci=C3=B3n.</td><td style=3D"border-top:0.75pt= solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 0.5pt; vert= ical-align:top">Marco internacional de = uso responsable.</td></tr><tr><td style=3D"border-top:0.75pt sol= id #000000; border-bottom:0.75pt solid #000000; padding:0pt 0.5pt; vertical= -align:top">OECD (2026)</td>= <td style=3D"border-top:0.75pt solid #000000; border-bottom:0.75pt solid #0= 00000; padding:0pt 0.5pt; vertical-align:top">Uso de IAG como apoyo al aprendizaje y no como atajo cognitivo.</spa= n></td><td style=3D"border-top:0.75pt solid #000000; border-bottom:0.75= pt solid #000000; padding:0pt 0.5pt; vertical-align:top">Pol=C3=ADtica educativa y evaluaci=C3=B3n por procesos.</= span></td></tr><tr><td style=3D"border-top:0.75pt solid #000000; border= -bottom:0.75pt solid #000000; padding:0pt 0.5pt; vertical-align:top">COPE Council (2023)</td><td style= =3D"border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; pa= dding:0pt 0.5pt; vertical-align:top">La= IA no cumple criterios de autor=C3=ADa y debe declararse.</td><= td style=3D"border-top:0.75pt solid #000000; border-bottom:0.75pt solid #00= 0000; padding:0pt 0.5pt; vertical-align:top">= Transparencia editorial.</td></tr><tr><td style=3D"border-= top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 0= .5pt; vertical-align:top">ICMJE (2026)<= /span></td><td style=3D"border-top:0.75pt solid #000000; border-bottom:= 0.75pt solid #000000; padding:0pt 0.5pt; vertical-align:top">Responsabilidad humana, verificaci=C3=B3n y declaraci= =C3=B3n del uso de IA.</td><td style=3D"border-top:0.75pt solid = #000000; border-bottom:0.75pt solid #000000; padding:0pt 0.5pt; vertical-al= ign:top">Autor=C3=ADa e integridad cien= t=C3=ADfica.</td></tr><tr><td style=3D"border-top:0.75pt solid #= 000000; border-bottom:0.75pt solid #000000; padding:0pt 0.5pt; vertical-ali= gn:top">Elsevier (2026)</td>= <td style=3D"border-top:0.75pt solid #000000; border-bottom:0.75pt solid #0= 00000; padding:0pt 0.5pt; vertical-align:top">Pol=C3=ADtica de uso y declaraci=C3=B3n de tecnolog=C3=ADas generati= vas.</td><td style=3D"border-top:0.75pt solid #000000; border-bo= ttom:0.75pt solid #000000; padding:0pt 0.5pt; vertical-align:top">Responsabilidad del autor y divulgaci=C3=B3n.</= span></td></tr><tr><td style=3D"border-top:0.75pt solid #000000; border= -bottom:0.75pt solid #000000; padding:0pt 0.5pt; vertical-align:top">Editorials Nature (2023)</td><td s= tyle=3D"border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000= ; padding:0pt 0.5pt; vertical-align:top"><spa= n>Reglas editoriales para preservar transparencia cient=C3=ADfica.</= p></td><td style=3D"border-top:0.75pt solid #000000; border-bottom:0.75pt s= olid #000000; padding:0pt 0.5pt; vertical-align:top">Criterios de publicaci=C3=B3n responsable.</td></t= r></table>4. &#x= a0; Discusi=C3=B3n</spa= n><sp= an>Los hallazgos muestran que el uso de la IAG en la escritura acad=C3=A9mi= ca combina oportunidades de apoyo a la producci=C3=B3n textual con riesgos = para la integridad, la autor=C3=ADa y la autonom=C3=ADa intelectual. A part= ir de la evidencia revisada, la discusi=C3=B3n contrasta estos aportes y ri= esgos con los lineamientos pedag=C3=B3gicos, =C3=A9ticos y editoriales iden= tificados.4.1. Usos= de la inteligencia artificial generativa en la escritura acad=C3=A9mica</s= pan><= span>La expansi=C3=B3n de modelos conversacionales de gran escala aceler=C3= =B3 la incorporaci=C3=B3n de la IAG en b=C3=BAsqueda de informaci=C3=B3n, p= roducci=C3=B3n textual, programaci=C3=B3n, an=C3=A1lisis documental y revis= i=C3=B3n de manuscritos (Bommasani et al., 2021; Dwivedi et al., 2023). A d= iferencia de un buscador convencional, un modelo de lenguaje genera secuenc= ias probabil=C3=ADsticas a partir de patrones aprendidos, por lo que sus re= spuestas deben considerarse propuestas textuales y no evidencia verificada.= En la escritura acad=C3=A9mica, las aplicaciones m=C3=A1s consistentes son= la lluvia de ideas, la elaboraci=C3=B3n de esquemas, la reformulaci=C3=B3n= , la retroalimentaci=C3=B3n ling=C3=BC=C3=ADstica, la traducci=C3=B3n y la = s=C3=ADntesis inicial. Estas funciones pueden favorecer el aprendizaje aut= =C3=B3nomo y la productividad si se articulan con objetivos pedag=C3=B3gico= s, instrucciones expl=C3=ADcitas y revisi=C3=B3n cr=C3=ADtica (Kasneci et a= l., 2023; Salvagno et al., 2023). El beneficio, por tanto no depende =C3=BA= nicamente de la herramienta, sino del dise=C3=B1o de la actividad y de la c= apacidad del usuario para evaluar el resultado. La evidencia tambi=C3=A9n s= ugiere que la IAG puede ampliar el acceso a apoyos de escritura para estudi= antes con diferentes niveles ling=C3=BC=C3=ADsticos; sin embargo, una asist= encia excesiva puede homogeneizar la voz, reducir la toma de decisiones y o= cultar dificultades reales. El criterio central consiste en utilizarla como= andamiaje temporal y verificable, no como sustituto de la construcci=C3=B3= n argumentativa del estudiante.= 4.2. Desaf=C3=ADos =C3=A9ticos e integridad cient=C3=ADfica</s= pan><= span>La facilidad para generar textos completos puede debilitar el razonami= ento cr=C3=ADtico, la argumentaci=C3=B3n, la s=C3=ADntesis y la escritura a= ut=C3=B3noma cuando el usuario delega tareas cognitivas esenciales. La lite= ratura advierte sobre dependencia tecnol=C3=B3gica, uso instrumental sin ap= rendizaje y presentaci=C3=B3n de contenido generado como producci=C3=B3n pr= opia (Tlili et al., 2023; Cotton et al., 2024; Eke, 2023). La exactitud con= stituye un riesgo especialmente relevante. Los modelos pueden producir afir= maciones plausibles, datos ficticios y referencias inexistentes. Gao et al.= (2023) demostraron que ChatGPT pod=C3=ADa generar res=C3=BAmenes cient=C3= =ADficos convincentes con datos completamente inventados y que los evaluado= res humanos no siempre los identificaban correctamente. Este resultado refu= erza la necesidad de verificar cada afirmaci=C3=B3n, localizar la fuente pr= imaria y comprobar DOI, autor=C3=ADa y correspondencia entre la cita y el a= rgumento. La integridad acad=C3=A9mica no se protege =C3=BAnicamente median= te detectores de texto generado, cuyos resultados pueden ser inciertos o ge= nerar falsos positivos. Se requieren dise=C3=B1os de evaluaci=C3=B3n que do= cumenten el proceso, incorporen borradores, bit=C3=A1coras, defensa oral, a= n=C3=A1lisis de fuentes y reflexi=C3=B3n metacognitiva. De este modo, la ev= aluaci=C3=B3n se desplaza del control punitivo hacia la demostraci=C3=B3n d= e aprendizaje y responsabilidad.= 4.3. Autor=C3=ADa, responsabilidad y transparencia<= p style=3D"text-align:justify; line-height:115%; font-size:12pt">La a= utor=C3=ADa confiere cr=C3=A9dito, pero tambi=C3=A9n responsabilidad sobre = la originalidad, exactitud y trazabilidad del trabajo. Las recomendaciones = vigentes del ICMJE establecen que las herramientas generativas no pueden se= r autoras porque no responden por el contenido, no aprueban la versi=C3=B3n= final y no pueden asumir responsabilidad jur=C3=ADdica o =C3=A9tica. Los a= utores humanos deben declarar la herramienta, su finalidad y el alcance de = su uso, adem=C3=A1s de revisar la informaci=C3=B3n generada (ICMJE, 2026). = COPE Council (2023) mantiene el mismo principio: la IA no satisface criteri= os de autor=C3=ADa y la responsabilidad recae en las personas que firman el= manuscrito. En consecuencia, el uso leg=C3=ADtimo exige distinguir entre a= poyo ling=C3=BC=C3=ADstico, asistencia metodol=C3=B3gica y generaci=C3=B3n = sustantiva de contenido. Cuanto mayor sea la intervenci=C3=B3n de la herram= ienta en el razonamiento, la redacci=C3=B3n o el an=C3=A1lisis, mayor debe = ser la precisi=C3=B3n de la declaraci=C3=B3n y del control humano. Las pol= =C3=ADticas editoriales convergen en tres exigencias: no atribuir autor=C3= =ADa a la IA, declarar usos relevantes y verificar el producto antes de env= iarlo. Elsevier (2026) solicita una declaraci=C3=B3n espec=C3=ADfica sobre = tecnolog=C3=ADas generativas; Editorials Nature (2023) exige transparencia = y conserva la responsabilidad en los autores. Esta convergencia permite afi= rmar que la discusi=C3=B3n actual ya no se centra en prohibir de manera abs= oluta, sino en establecer l=C3=ADmites verificables y responsabilidades cla= ras.4.4. Implicacio= nes para la ense=C3=B1anza de la redacci=C3=B3n acad=C3=A9mica<p= style=3D"text-align:justify; line-height:115%; font-size:12pt">La en= se=C3=B1anza debe priorizar la escritura como proceso: planificaci=C3=B3n, = b=C3=BAsqueda, formulaci=C3=B3n de argumentos, redacci=C3=B3n, revisi=C3=B3= n y edici=C3=B3n. La IAG puede intervenir en etapas delimitadas, pero cada = uso debe acompa=C3=B1arse de preguntas de control: =C2=BFqu=C3=A9 decisi=C3= =B3n tom=C3=B3 el estudiante?, =C2=BFqu=C3=A9 fuente respalda la afirmaci= =C3=B3n?, =C2=BFqu=C3=A9 cambi=C3=B3 despu=C3=A9s de revisar la propuesta d= e la IA?, =C2=BFqu=C3=A9 parte conserva la voz y el razonamiento propios? E= ste enfoque convierte la herramienta en objeto de an=C3=A1lisis y no en sus= tituto invisible del aprendizaje. Las actividades formativas pueden incluir= comparaci=C3=B3n entre respuestas humanas y generadas, detecci=C3=B3n de a= firmaciones sin evidencia, reconstrucci=C3=B3n de referencias, evaluaci=C3= =B3n de sesgos y elaboraci=C3=B3n de declaraciones de uso. Cotton et al. (2= 024) y Eke (2023) muestran que las respuestas institucionales deben combina= r integridad, redise=C3=B1o de evaluaci=C3=B3n y alfabetizaci=C3=B3n cr=C3= =ADtica, en lugar de depender exclusivamente de medidas de detecci=C3=B3n. = La retroalimentaci=C3=B3n docente debe valorar la calidad del razonamiento = y la trazabilidad del proceso. Resultan pertinentes los portafolios con ver= siones sucesivas, comentarios de revisi=C3=B3n, matrices de fuentes, defens= as orales breves y reflexiones sobre decisiones de escritura. Estas evidenc= ias permiten distinguir el apoyo leg=C3=ADtimo de la sustituci=C3=B3n del t= rabajo intelectual y fortalecen la autorregulaci=C3=B3n del estudiante.</sp= an>4.5. Orientaciones inst= itucionales para un uso responsableLas instituciones requieren pol= =C3=ADticas comprensibles, actualizadas y diferenciadas por contexto. Una n= ormativa efectiva debe especificar usos permitidos, restringidos y prohibid= os; criterios de declaraci=C3=B3n; protecci=C3=B3n de datos; tratamiento de= informaci=C3=B3n confidencial; responsabilidades de docentes y estudiantes= ; y consecuencias proporcionales ante el uso no autorizado. Las reglas gene= rales deben complementarse con orientaciones por asignatura, nivel formativ= o y tipo de evaluaci=C3=B3n. <a href=3D"https://unesdoc.unesco.org/q= uery?q=3DAutor:%20%22Miao,%20Fengchun%22&sf=3Dsf:*&queryDisplay=3DP= ersona%20autor%3A%20%22Miao%2C%20Fengchun%20%5Bauthor%5D%22" style=3D"text-= decoration:none">Miao</a> & <a href=3D"https://unesdoc= .unesco.org/query?q=3DAutor:%20%22Holmes,%20Wayne%22&sf=3Dsf:*&quer= yDisplay=3DPersona%20autor%3A%20%22Holmes%2C%20Wayne%20%5Bauthor%5D%22" sty= le=3D"text-decoration:none">Holmes</a> (2023) propone una goberna= nza centrada en el ser humano, mientras la OECD (2026) advierte que la IAG = debe dise=C3=B1arse como apoyo al desarrollo de capacidades y no como atajo= que oculte d=C3=A9ficits de aprendizaje. En el =C3=A1mbito de publicaci=C3= =B3n, COPE, ICMJE y las editoriales coinciden en transparencia, verificaci= =C3=B3n y responsabilidad humana. La articulaci=C3=B3n de estos enfoques su= giere cuatro principios institucionales: finalidad pedag=C3=B3gica expl=C3= =ADcita, supervisi=C3=B3n humana, verificabilidad y rendici=C3=B3n de cuent= as. La alfabetizaci=C3=B3n en IAG debe abarcar funcionamiento b=C3=A1sico, = l=C3=ADmites, sesgos, privacidad, propiedad intelectual, citaci=C3=B3n y ev= aluaci=C3=B3n de evidencia. Tambi=C3=A9n requiere formaci=C3=B3n docente co= ntinua, porque las decisiones sobre evaluaci=C3=B3n y retroalimentaci=C3=B3= n deben evolucionar al mismo ritmo que las herramientas. La respuesta insti= tucional m=C3=A1s sostenible es una gobernanza adaptable, basada en evidenc= ia y revisi=C3=B3n peri=C3=B3dica de sus lineamientos (Van Dis et al., 2023= ; <a href=3D"https://unesdoc.unesco.org/query?q=3DAutor:%20%22Miao,%= 20Fengchun%22&sf=3Dsf:*&queryDisplay=3DPersona%20autor%3A%20%22Miao= %2C%20Fengchun%20%5Bauthor%5D%22" style=3D"text-decoration:none">Miao</= a> & <a href=3D"https://unesdoc.unesco.org/query?q=3DAutor= :%20%22Holmes,%20Wayne%22&sf=3Dsf:*&queryDisplay=3DPersona%20autor%= 3A%20%22Holmes%2C%20Wayne%20%5Bauthor%5D%22" style=3D"text-decoration:none"= >Ho= lmes</a>, 2023).<sp= an>4.6. Limitaciones de la revisi=C3=B3nLa revisi=C3=B3n pre= senta limitaciones que condicionan el alcance de sus conclusiones. El perio= do principal 2022-2026 concentra la evidencia m=C3=A1s reciente, pero puede= excluir antecedentes pertinentes; la inclusi=C3=B3n de publicaciones en es= pa=C3=B1ol e ingl=C3=A9s restringe la diversidad ling=C3=BC=C3=ADstica; y l= a consulta de bases y sitios institucionales seleccionados no garantiza la = recuperaci=C3=B3n de toda la literatura disponible. Adem=C3=A1s, la combina= ci=C3=B3n de estudios emp=C3=ADricos, revisiones, editoriales y documentos = normativos genera heterogeneidad y no permite estimar efectos mediante meta= an=C3=A1lisis. El campo evoluciona con rapidez, por lo que pol=C3=ADticas, = versiones de modelos y pr=C3=A1cticas educativas pueden cambiar despu=C3=A9= s de la fecha de b=C3=BAsqueda. Asimismo, la ausencia de un registro cuanti= tativo completo del proceso inicial de recuperaci=C3=B3n impide cerrar el d= iagrama PRISMA sin consultar los archivos originales. Por estas razones, lo= s resultados deben entenderse como una s=C3=ADntesis cr=C3=ADtica y actuali= zable, no como una medici=C3=B3n exhaustiva de prevalencia o impacto causal= .5. &= #xa0; Conclusiones</spa= n><sp= an>La revisi=C3=B3n evidenci=C3=B3 que la IAG transforma la escritura acad= =C3=A9mica al ofrecer apoyo para planificar, sintetizar, reformular y revis= ar textos. Estas aplicaciones pueden mejorar la productividad y ampliar el = acceso a recursos de escritura, pero sus beneficios dependen de objetivos p= edag=C3=B3gicos claros, supervisi=C3=B3n humana y verificaci=C3=B3n sistem= =C3=A1tica. La herramienta aporta valor cuando fortalece el proceso intelec= tual; lo debilita cuando reemplaza la b=C3=BAsqueda, el an=C3=A1lisis o la = toma de decisiones del autor.Los principales riesgos se relacionan = con informaci=C3=B3n falsa, referencias inexistentes, sesgos, dependencia t= ecnol=C3=B3gica, p=C3=A9rdida de autonom=C3=ADa y uso no declarado. La inte= gridad cient=C3=ADfica exige que cada afirmaci=C3=B3n relevante pueda rastr= earse hasta una fuente confiable y que los autores humanos respondan por la= exactitud, originalidad y coherencia del manuscrito. En consecuencia, la I= AG no puede asumir autor=C3=ADa ni sustituir la responsabilidad acad=C3=A9m= ica.La ense=C3=B1anza de la redacci=C3=B3n debe evolucionar hacia e= valuaciones centradas en procesos, evidencias de aprendizaje y reflexi=C3= =B3n metacognitiva. Borradores, matrices de fuentes, defensa oral, portafol= ios y declaraciones de uso permiten valorar el razonamiento propio y distin= guir entre asistencia leg=C3=ADtima y sustituci=C3=B3n intelectual. La alfa= betizaci=C3=B3n en IAG debe integrarse con alfabetizaci=C3=B3n informaciona= l, =C3=A9tica y cient=C3=ADfica.Las universidades requieren pol=C3= =ADticas claras, flexibles y revisables que definan usos aceptables, transp= arencia, protecci=C3=B3n de datos y mecanismos de rendici=C3=B3n de cuentas= . La gobernanza responsable no consiste en prohibir de forma generalizada, = sino en asegurar que la innovaci=C3=B3n tecnol=C3=B3gica se subordine a la = formaci=C3=B3n, la integridad y la responsabilidad social de la educaci=C3= =B3n superior.<= span>6. &#= xa0; Conflicto de intereses</= span>= Los autores declaran no tener conflicto de intereses.7. Derechos de autor (copyright)Los autores son = los titulares de los derechos de autor (patrimoniales y/o de explotaci=C3= =B3n) de los contenidos de la revista (copyright).8= . Declaraci=C3=B3n de contribuci=C3=B3n de los autores= Los autores declaran = haber participado de manera equitativa y sustancial en la realizaci=C3=B3n = de esta investigaci=C3=B3n, bajo las responsabilidades seg=C3=BAn la </span= ><a href=3D"https://credit.niso.org/" style=3D"text-decoration:none">Taxonom=C3=ADa CRediT</a> para describir l= as contribuciones individuales de cada autor al trabajo. Fabrizio J= =C3=A1come Viera: conc= eptualizaci=C3=B3n, metodolog=C3=ADa, formulaci=C3=B3n del problema, superv= isi=C3=B3n, an=C3=A1lisis cr=C3=ADtico, elaboraci=C3=B3n del modelo concept= ual y aprobaci=C3=B3n de la versi=C3=B3n final.Gabriela Carrera</sp= an>: investigaci=C3=B3n docum= ental, selecci=C3=B3n y an=C3=A1lisis de fuentes, construcci=C3=B3n del mar= co te=C3=B3rico, interpretaci=C3=B3n de resultados, revisi=C3=B3n acad=C3= =A9mica y validaci=C3=B3n de conclusiones.Erika Reinoso<span= style=3D"font-weight:bold">: an=C3=A1lisis e interpretaci=C3= =B3n, redacci=C3=B3n de secciones, revisi=C3=B3n cr=C3=ADtica, verificaci= =C3=B3n de referencias y consolidaci=C3=B3n de la versi=C3=B3n final.</span= ><spa= n>Todos los autores revisaron y aprobaron el manuscrito y asumen responsabi= lidad por su contenido.Divulgaci=C3=B3n de la delegaci=C3= =B3n a la IA generativaDurante la revisi=C3=B3n editorial y la prep= araci=C3=B3n de esta versi=C3=B3n del manuscrito se utiliz=C3=B3 ChatGPT, c= omo herramienta de apoyo para reorganizar secciones, mejorar la claridad li= ng=C3=BC=C3=ADstica, proponer el resumen y el abstracto, y verificar la con= sistencia formal entre citas y referencias. La selecci=C3=B3n de fuentes, l= a interpretaci=C3=B3n de la evidencia, las decisiones argumentativas, la co= mprobaci=C3=B3n de referencias y la aprobaci=C3=B3n final permanecieron baj= o responsabilidad de los autores humanos. La herramienta no fue considerada= autora ni utilizada como fuente primaria de evidencia.Declaraci= =C3=B3n presentada por: Erika Reinoso Naranjo (autora de correspondencia).<= /span>9. </sp= an>Costos de financiamientoEsta in= vestigaci=C3=B3n no recibi=C3=B3 financiamiento externo.10. Refe= rencias Bibliogr=C3=A1ficasAromataris, E., Loc= kwood, C., Porritt, K., Pilla, B., & Jordan, Z. (2024). JBI Manual for Evidence Synthesis. J= BI. <a href=3D"https://hotus.fi/wp-content/uploads/2025/10/jbi-manua= l-for-evidence-synthesis-nov-2024.pdf" style=3D"text-decoration:none"><span= class=3D"Hyperlink">https://hotus.fi/wp-content/uploads/2025/10/jbi-manual= -for-evidence-synthesis-nov-2024.pdf</a> Bommasani, R., Hudson, D. 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