Ethical use of artificial intelligence in higher education

Abstract

Introduction: Artificial intelligence (AI) has emerged as a rapidly expanding field that has revolutionized multiple sectors, including higher education. This technology uses advanced algorithms and machine learning models to process data and perform activities that historically demanded human skills. The objective of this work was to establish the relevant theoretical frameworks regarding the ethical use of artificial intelligence (AI) in higher education. Materials and methods: To this end, a descriptive review was carried out through documentary analysis, using search engines such as Google Scholar, Dimensions, and Redalyc. From an advanced search using a Boolean equation, journal articles, websites, reports, and books that address various aspects of ethics in the use of AI were selected. A theoretical dissertation was carried out considering the analytical-synthetic method for the interpretation of the reviewed literature and the subsequent writing of the work. Results: Based on the information collected, the results reveal knowledge about the importance of addressing the integration of AI in higher education from an ethical perspective, considering aspects such as transparency, privacy, non-discrimination and responsibility, as reflected in international regulatory and policy norms. Discussion. Despite the benefits, the integration of AI in education presents significant ethical challenges. Conclusions: These include the access and equity gap, data privacy and security, and the possible excessive dependence on technology that could inhibit the development of critical and autonomous thinking in students.