Adopción responsable de la inteligencia artificial generativa (IAG) en la docencia universitaria: un análisis crítico

Generative Artificial Intelligence (GAI) has emerged as a transformative tool in various sectors, including university education. This project aims to develop and evaluate a set of Best Practices that enable the ethical and effective adoption of GAI in university teaching in economics, improving teaching-learning processes. Using a critical and contextualized approach, the perceptions, barriers, and myths that university teachers have about these technologies will be analyzed, as well as the ethical challenges, the digital divide, and the technical limitations that condition their implementation. The research project will use a methodology with quantitative approaches, based on the instruments developed by Chou et al. (2024), as well as the recommendations for use by Mancilla-Caceres (2022), and the latest version of ChatGPT will be used as the AIG technological tool.
The findings are expected to generate policy recommendations to guide the responsible use of AI, contributing to educational innovation and the strengthening of digital skills within a framework of equity and ethics.

Recopilar las percepciones, los mitos y barreras de la Inteligencia Artificial Generativa en la docencia universitaria, con el objetivo de mejorar los procesos de enseñanza-aprendizaje y fomentar su adopción responsable, teniendo en cuenta desafíos tales como el uso ético, la brecha digital, y la formación técnica de los docentes.

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