Artificial Intelligence and Academic Legitimacy: Reconceptualizing Originality, Authorship, and Ethical Use in Education

Abstract

The adoption of artificial intelligence (AI) is rapidly spreading across various industries, including engineering, medicine, and manufacturing. However, there is still considerable debate regarding the legality and legitimacy of using AI-based technologies in educational settings. The use of AI is generally perceived as a positive thing as far as boosting and enhancing human capabilities in technical and applied disciplines. Nevertheless, there are also many who believe that integrating AI into academic or scholarly activities will compromise originality, authorship, and academic integrity. This article presents an in-depth theoretical analysis and literature review of over 100 years of scholarly publications in education, philosophy, and technology studies to provide a better understanding of what has occurred to cause this disparity. It shows how the resistance to AI integration into academia is driven by epistemological views of authorship, knowledge production, and learning that may soon become obsolete. This paper proposes that originality be recast as being conceptual rather than textual and establishes a foundational framework to ethically incorporate AI into education according to concepts, such as intellectual ownership, transparency, and epistemic accountability. The article provides recommendations on policy and pedagogical implications for educational institutions that are moving toward the integration of AI into learning environments.