Abstract

Generative AI (GAI) is fundamentally altering the academic authorship and research ethics landscape by sourcing multiple long-held beliefs of originality, intellectual labor, and academic accountability. The rise of tools such as ChatGPT, Gemini, and Claude in the writing, analysis, and creation of knowledge creates an urgent need for Higher Education to redefine the meaning of ethical authorship. This paper seeks to examine how Generative AI has changed many of the long-standing academic traditions, highlighting dependence on technology and analyze the inconsistencies in the AI Policies at institutions of higher education worldwide. By utilizing qualitative and normative methods from deontological and virtue ethics, this study compares the policies of Harvard University and University of Cambridge and highlights the best practices for responsible use and integration of AI technologies. The chapter will also propose a human-centered, accountable, and transparent AI collaboration model that protects academic integrity while supporting continued technological advancement