The responsible Artificial Intelligence in higher education
Supporting Agencies
- Cátedra UAM-Founderz-Microsoft de Empleabilidad y Uso Responsable de la IA
- Grupo de investigación Educación Digital e Innovación
Abstract
The rapid expansion of generative artificial intelligence (GAI) in higher education has driven new academic practices, but it has also created ethical, institutional, and pedagogical challenges that require a rigorous understanding of its responsible use. This study presents a systematized review of 47 articles published between 2023 and 2025 on the responsible use of GAI in university contexts. The results show a significant increase in publications during this period, a heterogeneous geographical distribution, and a predominance of descriptive studies focused on perceptions, attitudes, and gaps in AI literacy. Tensions related to academic integrity, algorithmic transparency, and the lack of clear institutional guidelines were also identified. From the analysis, the ABCE categorical system emerged, integrating attitudinal, behavioral, cognitive, and ethical dimensions, offering a useful conceptual framework to understand the complexity of responsible GAI use. Implications and lines of action for university policies and practices are discussed.
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