Predictors of the ethical use of generative artificial intelligence in higher education

A study conducted at the State University of Milagro investigated the ethical use of generative artificial intelligence (AI) in higher education. It aimed to identify factors associated with and structurally contributing to ethical AI use among students, given the challenges posed by AI adoption in areas such as authorship, transparency, content verification, privacy, and student responsibility.

The rapid integration of generative AI into educational environments necessitates understanding its ethical implications to ensure responsible adoption. Identifying factors influencing ethical use is crucial for developing governance frameworks and educational strategies that mitigate risks and foster beneficial AI integration across various sectors and institutions.

Generative AI is increasingly integrated into higher education, introducing both opportunities and ethical challenges.

Forward consideration, not a verified fact.