Ethical implications of the use of artificial intelligence in higher education

The implementation of Artificial Intelligence (AI) in higher education poses significant ethical dilemmas that require a deep understanding to ensure its beneficial and equitable use. This research explored the ethical challenges associated with the use of AI, specifically ChatGPT, in the university...

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Detalhes bibliográficos
Autores: Camacho Vázquez, Martha Ruth, Pérez Méndez, Jazmín, Cárdenas Castellanos, Janitzín, Adaile Benítez, Nadia Teresa
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:México
Recursos:UNIVERSIDAD AUTÓNOMA DE TABASCO
Repositorio:Emerging Trends in Education
OAI Identifier:oai:revistaemerging.ujat.mx:article/6343
Acesso em linha:https://revistaemerging.ujat.mx/emerging/article/view/6343
Access Level:acceso abierto
Palavra-chave:Ethics
Artificial Intelligence
Higher Education
University
Learning
Ética
Inteligencia Artificial
Educación Superior
Universidad
Aprendizaje
Descrição
Resumo:The implementation of Artificial Intelligence (AI) in higher education poses significant ethical dilemmas that require a deep understanding to ensure its beneficial and equitable use. This research explored the ethical challenges associated with the use of AI, specifically ChatGPT, in the university setting. The methodology was developed in two phases: a systematic literature review and field research using surveys of university students. The results revealed a generally positive attitude toward ChatGPT, with strong recognition of its usefulness and the importance of AI literacy. However, concerns about academic integrity and the potential promotion of mental laziness were identified. A weak correlation was found between major choice and ethical perceptions, while age showed no significant influence. The study also highlighted the need to improve citation and source verification practices when using AI. These findings provide a solid foundation for the development of institutional policies and educational programs that address the ethical challenges of AI in higher education, emphasizing the importance of tailored approaches according to academic discipline.