Smart and Ethical Education in the Age of GenAI

Abstract

This paper examines the ethical implications of Generative AI (GenAI), such as ChatGPT, in higher education, focusing on how these technologies can be harnessed to enhance student learning while upholding academic integrity. It begins by addressing traditional ethical principles in education, including fairness, transparency, accountability, privacy, and equality, and emphasizes the need for a shift from academic integrity to professional ethical competence (PEC) in response to the challenges posed by AI. The paper then explores the specific ethical concerns associated with GenAI, including algorithmic bias, transparency, data privacy, and the potential for misuse in academic assessments. A tiered framework for policymaking and implementation is proposed, structured at the university, faculty, and course levels, to ensure ethical GenAI use while promoting flexibility and stakeholder adoption. The paper concludes with a set of technical recommendations for AI developers, focusing on embedding ethical design, enhancing transparency through summaries and explanatory output, conducting bias audits, and prioritizing data privacy and security. By fostering collaboration among all stakeholders— universities, developers, educators, and students—the paper advocates for a thoughtful and responsible approach to integrating GenAI in education that supports both innovation and ethical responsibility.

Ähnliche Arbeiten