Ethical perspectives on the application of Artificial Intelligence in Higher Education

Abstract

As artificial intelligence plays an increasingly prominent role in academic decision making and student-technology interactions, a critical need arises to address the inherent ethical issues. The fundamental aim of the article is to analyze these ethical perspectives from various dimensions, such as equity in access to education, privacy of student data, and the social implications of automation in teaching. The methodology of the study involves a comprehensive review of the ethical and research literature in the field of artificial intelligence and higher education, as well as the analysis of case studies illustrating specific ethical situations. The results highlight the complexity and interconnectedness of ethical dilemmas associated with the application of AI in higher education. Tensions between the optimization of educational processes through AI and the need to preserve equity and individual autonomy are identified. In addition, the ethical responsibilities of educational institutions, technology developers, and educators in implementing and using AI-based systems are examined. The article's conclusions highlight the urgency of establishing robust ethical frameworks and clear policies to guide the implementation of AI in higher education, thus ensuring that the benefits derived from this technology are balanced with the protection of fundamental ethical values.