Ethical and privacy challenges in the implementation of artificial intelligence in higher education
Keywords:
Access to information, expert system, moral values, university studentAbstract
The integration of artificial intelligence (AI) in Higher Education presents significant ethical and privacy challenges that require critical evaluation. This research examines the implications of using AI in university settings, focusing on the protection of personal data of students and faculty, equity in access to and use of AI technologies, and transparency in automated decision-making processes. The primary objective is to develop a comprehensive ethical framework for the responsible implementation of AI in Higher Education institutions. A mixed methodology was used, combining a systematic literature review, surveys of academic groups, and case study analysis to identify key areas of concern and emerging best practices. The results highlight the need for clear institutional policies on data management, the importance of ethical training in AI for the entire university community, and the value of human oversight in educational AI systems. Additionally, the study underscores the urgency of establishing governance mechanisms to ensure accountability and protect individual rights in the use of AI. In conclusion, the research provides a solid foundation for Higher Education institutions to develop robust ethical and privacy strategies in the adoption of AI technologies, thereby promoting an innovative and responsible educational ecosystem.
Keywords: Access to information, expert system, moral values, university student.
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