Epistemic Authority in the Age of Generative AI: A Study of Knowledge Trust, Control, and Algorithmic Mediation

Abstract

Generative artificial intelligence (AI) is rapidly changing the way knowledge is created, shared, assessed, and believed in today’s digital world. This study examines the evolving concept of epistemic authority in the age of generative AI, with particular emphasis on knowledge trust, algorithmic mediation, transparency, and governance. The integrative literature review was carried out by synthesizing the latest scholarly literature on AI-supported knowledge systems, digital trust, and information behavior in a qualitative manner. The review identifies four recurring themes: trust in generative AI systems, the continuing role of human expertise, algorithmic mediation and governance, and the emergence of hybrid epistemic authority. The findings indicate that although generative AI has become an influential source of knowledge because of its accessibility, efficiency, and information synthesis capabilities, trust in AI-generated knowledge remains conditional. Users continue to rely on human expertise, institutional credibility, and independent verification when information involves significant academic, professional, or ethical consequences. The review further demonstrates that algorithmic transparency, accountability, and governance play fundamental roles in shaping public perceptions of credibility and legitimacy. One of the main findings of this study is the concept of hybrid epistemic authority, in which the authority is not centralized in one source, but is negotiated between human experts, intelligent systems, institutions, digital platforms, and users. The study adds to the current debates on digital epistemology and AI ethics by offering a new conceptual framework for the reconfigured epistemic authority in increasingly AI-mediated knowledge ecosystems.