Gobernanza Universitaria de la Inteligencia Artificial Generativa

Análisis Comparativo de Directrices en Universidades de Élite Global

Autores/as

DOI:

https://doi.org/10.25749/sis.44224

Palabras clave:

inteligencia artificial generativa, gobernanza universitaria, políticas institucionales, educación superior, ética digital

Resumen

Este estudio analiza comparativamente las directrices sobre el uso de la inteligencia artificial (IA) generativa en diez universidades de élite, seleccionadas con base en el Times Higher Education (THE) World University Rankings 2025. La investigación adopta un enfoque cualitativo, de carácter descriptivo-analítico, sustentado en el análisis sistemático de 87 documentos institucionales organizados en cuatro ejes: docencia, uso estudiantil, seguridad de la información y gobernanza/ética. Cada eje fue codificado según una escala de robustez de tres niveles, lo que permitió identificar patrones, brechas e innovaciones en las respuestas institucionales. Los resultados señalan la consolidación de un modelo normativo-formativo que articula principios internacionales, como justicia algorítmica, transparencia y responsabilidad, y reposiciona a las universidades como protagonistas en la formulación ética y estratégica del uso de la IA generativa.

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Biografía del autor/a

Camila Lopes Ferreira, Departamento de Engenharia de Produção, Universidade Tecnológica Federal do Paraná, Brasil

Ph.D. candidate in Science and Technology Teaching in the Graduate Program in Science and Technology Teaching at the Federal University of Technology – Paraná (UTFPR). Master in Production Engineering from the Graduate Program in Production Engineering (PPGEP) at UTFPR. Faculty member at the Ponta Grossa Campus of UTFPR. Editor of the Brazilian Journal of Quality of Life (RBQV).

Alessandra Dutra, Departamento de Ciências Humanas, Universidade Tecnológica Federal do Paraná, Brasil

Graduated in English Language and Literatures from the State University of Londrina (UEL), Master in Language Studies from UEL, and PhD in Linguistics and Portuguese Language from São Paulo State University “Júlio de Mesquita Filho” (UNESP). Permanent professor in the Graduate Program in Science and Technology Teaching (PPGECT), Ponta Grossa campus.

Sani de Carvalho Rutz da Silva, Departamento Académico de Matemática, Programa de Pós-Graduação em Ensino de Ciência e Tecnologia, Universidade Tecnológica Federal do Paraná, Brasil

Graduated in Mathematics from the State University of Ponta Grossa (UEPG), Master in Applied Mathematics, and PhD in Materials Science from the Federal University of Rio Grande do Sul (UFRGS). Permanent professor in the Graduate Program in Science and Technology Teaching (PPGECT), in the Professional Master’s and Academic PhD courses. Editor-in-Chief of the Brazilian Journal of Science and Technology Teaching (RBECT).

José Roberto Herrera Cantorani, Departamento de Educação Física, Instituto Federal de Educação, Ciência e Tecnologia de São Paulo, Brasil

Graduated in Physical Education from the State University of Ponta Grossa (UEPG), Master in Applied Social Sciences from UEPG, and PhD in Physical Education from the State University of Campinas (UNICAMP), with a postdoctoral fellowship in Science and Technology Teaching at the Federal University of Technology – Paraná (UTFPR). Researcher in research groups on quality of life, quality of work life, and human resources management for the productive environment. Professor at the Federal Institute of Education, Science and Technology of São Paulo (IFSP) and at the Graduate Program in Science and Technology Teaching (PPGECT/UTFPR).

Claudia Tania Picinin, Departamento de Engenharia de Produção, Universidade Tecnológica Federal do Paraná, Brasil

Graduate in Business Administration with a specialization in Marketing, MBA in Business and Logistics Management from the Federal University of Technology – Paraná (UTFPR) – Pato Branco Campus, specialist in Industrial Management – Knowledge and Innovation, and Master in Production Engineering from the Federal University of Technology – Paraná (UTFPR) – Ponta Grossa Campus. Ph.D. in Business Administration from Universidade Positivo. Professor in the Department of Production Engineering and in the Graduate Program in Production Engineering at UTFPR – Ponta Grossa.

Citas

AI at Yale. (2025a). Clarity Platform. https://ai.yale.edu/yales-ai-tools-and-resources/clarity-platform

AI at Yale. (2025b). Envisioning AI at Yale: An interdisciplinary symposium. https://ai.yale.edu/symposium-2025

Berkman Klein Center for Internet & Society. (2025). Ethics and governance of AI initiative. https://cyber.harvard.edu/projects/ethics-and-governance-ai-initiative

Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative Research Journal, 9(2), 27-40. https://doi.org/10.3316/QRJ0902027

California Institute of Technology. (2025a). Resources for teaching in the age of AI. https://ctlo.caltech.edu/universityteaching/resources/resources-for-teaching-in-the-age-of-ai

California Institute of Technology. (2025b). HSS policy on generative AI. https://www.hss.caltech.edu/hss-policies/hss-policy-on-generative-ai

California Institute of Technology. (2025c). Guidelines for secure and ethical use of artificial intelligence (AI). https://www.imss.caltech.edu/services/ai/caltech-ai/guidelines-for-secure-and-ethical-use-of-artificial-intelligence-ai

California Institute of Technology. (2025d). The Linde Center for Science, Society, and Policy (LCSSP). https://lindeinstitute.caltech.edu/research/lcssp

California Institute of Technology. (2025e). MACH 33: The Caltech Festival of New Science-Driven Plays. https://tacit.caltech.edu/mach33

California Institute of Technology. (2025f). Undergraduate and graduate admissions AI policy: Guidelines for fall applicants. https://www.admissions.caltech.edu/apply/first-year-applicants/supplemental-application-essays/ethical-use-of-ai-guidelines-for-fall-applicants

Chen, X., & Wu, D. (2024). Automatic generation of multimedia teaching materials based on generative AI: Taking Tang poetry as an example. IEEE Transactions on Learning Technologies, 17, 1327-1340. https://doi.org/10.1109/TLT.2024.3378279

Cowen, R. (2013). Changing principles and goals of universities: Questioning trajectories. Sisyphus - Journal of Education, 1(2), 38-53. https://doi.org/10.25749/sis.3627

Cress, U., & Kimmerle, J. (2023). Co-constructing knowledge with generative AI tools: Reflections from a CSCL perspective. International Journal of Computer-Supported Collaborative Learning, 18, 607-614. https://doi.org/10.1007/s11412-023-09409-w

European Commission. (2021). Proposal for a regulation of the European Parliament and of the Council laying down harmonised rules on artificial intelligence (Artificial Intelligence Act) and amending certain Union legislative acts. https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:52021PC0206

European Union. (2016). Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation). Official Journal of the European Union, L 119, 1-88. https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A32016R0679

Gonsalves, C. (2024). Generative AI’s impact on critical thinking: Revisiting Bloom’s taxonomy. Journal of Marketing Education. Advance online publication. https://doi.org/10.1177/02734753241305980

Harvard Medical School. (2025). Guidance and tools for secure, ethical use of AI at HMS. https://it.hms.harvard.edu/about/policies-and-guidelines/generative-ai

Harvard University Information Technology. (2025). Generative artificial intelligence (AI). https://www.huit.harvard.edu/ai

Harvard University Office of the Provost. (2025). Guidelines for using ChatGPT and other generative AI tools at Harvard. https://provost.harvard.edu/guidelines-using-chatgpt-and-other-generative-ai-tools-harvard

Harvard University. (2025). AI ethics in business: Managing bias and ethical usage. https://pll.harvard.edu/course/ai-ethics-business-managing-bias-and-ethical-usage

Huttenlocher, D., Ozdaglar, A., & Goldston, D. (2023). A framework for U.S. AI governance: Creating a safe and thriving AI sector. MIT Schwarzman College of Computing; MIT Washington Office. https://computing.mit.edu/wp-content/uploads/2023/11/AIPolicyBrief.pdf

Imperial College London. (2025a). Generative AI tools guidance. Library Services. https://www.imperial.ac.uk/admin-services/library/learning-support/generative-ai-guidance/

Imperial College London. (2025b). AI for teaching. Teaching Toolkit. https://www.imperial.ac.uk/staff/educational-development/teaching-toolkit/use-of-generative-ai-for-teaching-learning-and-assessment/ai-for-teaching/

Imperial College London. (2025c). AI fundamentals. Imperial Policy Forum. https://www.imperial.ac.uk/research-and-innovation/the-forum/courses-for-policymakers/fundamentals-/ai-fundamentals/

Kong, S.-C., & Yang, Y. (2024). A human-centered learning and teaching framework using generative artificial intelligence for self-regulated learning development through domain knowledge learning in K-12 settings. IEEE Transactions on Learning Technologies, 17, 1562-1573. https://doi.org/10.1109/TLT.2024.3392830

Massachusetts (2025a). 201 CMR 17.00: Standards for the protection of personal information of residents of the Commonwealth. https://www.mass.gov/regulations/201-CMR-1700-standards-for-the-protection-of-personal-information-of-residents-of-the-commonwealth

Massachusetts (2025b). General Laws, Chapter 93H: Security breaches. https://malegislature.gov/Laws/GeneralLaws/PartI/TitleXV/Chapter93H

Mishra, P., Oster, N., & Henriksen, D. (2024). Generative AI, teacher knowledge and educational research: Bridging short- and long-term perspectives. TechTrends, 68, 205-210. https://doi.org/10.1007/s11528-024-00938-1

MIT Information Systems and Technology. (2025). Guidance for use of generative AI tools. https://ist.mit.edu/ai-guidance

MIT Internet Policy Research Initiative. (2024). AI policy: 2024. https://internetpolicy.mit.edu/ai-policy/

MIT Management. (2025). Getting started with AI-enhanced teaching: A practical guide for instructors. https://mitsloanedtech.mit.edu/ai/teach/getting-started/

MIT School of Architecture + Planning. (2023). Ethics and governance of artificial intelligence. https://www.media.mit.edu/groups/ethics-and-governance/overview/

Mittal, U., Sai, S., Chamola, V., & Sangwan, D. (2024). A comprehensive review on generative AI for education. IEEE Access, 12, 142733-142759. https://doi.org/10.1109/ACCESS.2024.3468368

Payne, B. H. (2019). An ethics of artificial intelligence curriculum for middle school students. https://thecenter.mit.edu/wp-content/uploads/2020/07/MIT-AI-Ethics-Education-Curriculum.pdf

Porsdam Mann, S., Vazirani, A. A., Aboy, M., Earp, B. D., Minssen, T., Cohen, I. G., & Savulescu, J. (2024). Guidelines for ethical use and acknowledgement of large language models in academic writing. Nature Machine Intelligence, 6, 1272-1274. https://doi.org/10.1038/s42256-024-00922-7

Princeton University. (2025a). Princeton dialogues on AI and ethics - Case study PDFs. https://aiethics.princeton.edu/case-studies/case-study-pdfs/

Princeton University. (2025b). Generative AI and Our Classrooms. McGraw Center for Teaching and Learning. https://mcgraw.princeton.edu/generative-ai

Princeton University. (2025c). Generative AI at Princeton. Office of Information Technology. https://oit.princeton.edu/generative-ai

Princeton University. (2025d). Microsoft Copilot at Princeton University. Office of Information Technology. https://oit.princeton.edu/microsoft-copilot-princeton-university

Princeton University. (2025e). Princeton-supported AI tools. Office of Information Technology. https://oit.princeton.edu/generative-ai/ai-tools

Princeton University. (2025f). Princeton dialogues on AI and ethics. https://aiethics.princeton.edu/about/

Princeton University Library. (2025). Disclosing the use of generative AI at Princeton University. https://libguides.princeton.edu/generativeAI/disclosure

Ramirez, F. O. (2013). World society and the university as formal organization. Sisyphus - Journal of Education, 1(1), 124-153. https://doi.org/10.25749/sis.2833

Russell Group. (2023). Principles on the use of generative AI tools in education. https://www.russellgroup.ac.uk/policy/policy-briefings/principles-use-generative-ai-tools-education

Stanford HAI. (2025). The 2025 AI Index Report. Stanford Institute for Human-Centered AI. https://hai.stanford.edu/ai-index/2025-ai-index-report

Stanford University. (2025a). AI meets education at Stanford. Stanford Center for Teaching and Learning. https://ctl.stanford.edu/aimes

Stanford University. (2025b). Report outlines Stanford principles for use of AI. Stanford Report. https://news.stanford.edu/stories/2025/01/report-outlines-stanford-principles-for-use-of-ai

Stanford University. (2025c). Artificial intelligence teaching guide. Stanford Teaching Commons. https://teachingcommons.stanford.edu/teaching-guides/artificial-intelligence-teaching-guide

Stanford University. (2025d). Course policies on generative AI use. Teaching and Learning Hub. https://tlhub.stanford.edu/docs/course-policies-on-generative-ai-use/

Stanford University. (2025e). Artificial Intelligence (AI). https://teachingcommons.stanford.edu/news/artificial-intelligence-ai

Times Higher Education. (2025). World University Rankings 2025. https://www.timeshighereducation.com/world-university-rankings/2025/world-ranking

UNESCO. (2022). Recommendation on the ethics of artificial intelligence. United Nations Educational, Scientific and Cultural Organization. https://unesdoc.unesco.org/ark:/48223/pf0000381137

United States, Office of Science and Technology Policy. (2022). Blueprint for an AI Bill of Rights: Making automated systems work for the American people. The White House. https://www.govinfo.gov/app/details/GOVPUB-PREX23-PURL-gpo193638

University of California, Berkeley. (2025a). Guidance on the use of AI. Berkeley Ai Hub. https://ai.berkeley.edu/guidance-use-ai

University of California, Berkeley. (2025b). AI Policy Hub. Center for Long-Term Cybersecurity. https://cltc.berkeley.edu/program/ai-policy-hub/

University of California, Berkeley. (2025c). Appropriate use of generative AI tools. Office of Ethics, Risk & Compliance Services. https://oercs.berkeley.edu/appropriate-use-generative-ai-tools

University of California, Berkeley. (2025d). AI in teaching & learning overview. Research, Teaching, and Learning. https://rtl.berkeley.edu/ai-teaching-learning-overview

University of Cambridge. (2025a). Generative AI and assessment. Blended Learning Service. https://blendedlearning.cam.ac.uk/artificial-intelligence-and-education/generative-ai-and-assessment

University of Cambridge. (2025b). Using generative AI. Blended Learning Service. https://blendedlearning.cam.ac.uk/artificial-intelligence-and-education/using-generative-ai

University of Cambridge. (2025c). How we use generative AI tools. Communications. https://www.communications.cam.ac.uk/generative-ai-tool-guidelines

University of Cambridge. (2025d). AI: Futures and responsibility. Leverhulme Centre for the Future of Intelligence. https://www.lcfi.ac.uk/research/programme/ai-futures-and-responsibility

University of Oxford. (2025a). AI and academic practice. Centre for Teaching and Learning. https://www.ctl.ox.ac.uk/ai

University of Oxford. (2025b). Generative AI guidance for communicators. Communications Resources. https://communications.admin.ox.ac.uk/ai-guidance

University of Oxford. (2025c). Institute for Ethics in AI. https://www.oxford-aiethics.ox.ac.uk/

University of Oxford. (2025d). Use generative AI services safely. https://www.infosec.ox.ac.uk/use-generative-ai-services-such-as-chatgpt-safely

University of Oxford. (2025e). Guidance on safe and responsible use of GenAI. https://www.ox.ac.uk/students/life/it/genai-tools/guidance-on-safe-and-responsible-use-of-genai

U.S. Department of Education (2011). Family Educational Rights and Privacy Act (FERPA). https://studentprivacy.ed.gov/ferpa

U.S. Department of Health & Human Services (2026). Health Information Privacy. https://www.hhs.gov/hipaa/index.html

Yale University. (2023). Guidelines for the use of generative AI tools. Office of the Provost. https://provost.yale.edu/news/guidelines-use-generative-ai-tools

Yale. (2025a). AI guidance for teachers. Poorvu Center for Teaching and Learning. https://poorvucenter.yale.edu/teaching/teaching-resource-library/ai-guidance-for-teachers

Yale. (2025b). AI Guidance for Students. Poorvu Center for Teaching and Learning. https://poorvucenter.yale.edu/learning/learning-resource-library/ai-guidance-for-students

Yan, L., Greiff, S., Teuber, Z., & Gašević, D. (2024). Promises and challenges of generative artificial intelligence for human learning. Nature Human Behaviour, 8, 1839-1850. https://doi.org/10.1038/s41562-024-02004-5

Yusuf, A., Pervin, N., Román-González, M., & Noor, N. M. (2024). Generative AI in education and research: A systematic mapping review. Review of Education, 12(2), e3489. https://doi.org/10.1002/rev3.3489

Zhai, X. (2024). Transforming teachers’ roles and agencies in the era of generative AI: Perceptions, acceptance, knowledge, and practices. Journal of Science Education and Technology. Advance online publication. https://doi.org/10.1007/s10956-024-10174-0

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Publicado

2026-06-30

Número

Vol. 14 Núm. 2 (2026): Competencias Digitales Docentes en la Era de la Inteligencia Artificial: Reconfiguraciones de la Práctica Pedagógica

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