Artificial Intelligence and the Epistemic Frontier: Reconfiguring Authority, Authorship, and Inquiry in Academia

Abstract

The rise of artificial intelligence (AI) as a tool for generating novel concepts and empowering non-experts challenges the foundational norms of academic inquiry. This paper examines the epistemological, ethical, and institutional implications of AI’s integration into scholarship, arguing that while it democratizes knowledge production and accelerates discovery, it also threatens epistemic justification, intellectual ownership, and human agency. Through a detailed case study and philosophical analysis, I propose “AI-Augmented Inquiry” as a disciplinary framework to legitimize revolutionary contributions from non-traditional scholars while preserving academic rigor. This mediated approach navigates the tension between innovation and tradition, offering a path forward for an AI-infused epistemic landscape.

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2025-04-01

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