Implementation of an Institutional Model for the Ethical Use of AI in Distance High School
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Abstract
The integration of generative artificial intelligence in distance upper secondary education raises challenges related to authorship, traceability, and academic validation. In response, the Universidad Virtual del Estado de Guanajuato developed and implemented an institutional model for the ethical use of AI in content design. The model articulates principles of human authorship, transparency, and specialized validation, together with mandatory disclosure and centralized editorial verification. Its implementation standardized processes and strengthened academic integrity, offering a replicable experience for online upper secondary education.
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References
Huff, C. (1 de octubre de 2024). The promise and perils of using AI for research and writing. American Psychological Association. https://www.apa.org/topics/artificial-intelligence-machine-learning/ai-research-writing
Eaton, S. E. (25 de noviembre de 2025). Artificial intelligence and academic integrity. https://drsaraheaton.wordpress.com/
International Organization for Standardization. (2023). ISO/IEC 42001:2023 Artificial intelligence management system. ISO. https://www.iso.org/standard/81230.html
McAdoo, T. (7 de abril de 2023). How to cite ChatGPT and other AI tools. American Psychological Association. https://apastyle.apa.org/blog/how-to-cite-chatgpt
UNESCO. (2021). Recomendación sobre la ética de la inteligencia artificial. UNESCO. https://www.unesco.org/es/artificial-intelligence/recommendation-ethics
UNESCO. (16 de enero de 2026). Guidance for generative AI in education and research. UNESCO. https://www.unesco.org/en/articles/guidance-generative-ai-education-and-research
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Development, 68. https://link.springer.com/article/10.1186/s41239-019-0171-0
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