Bridging Epistemology, Technology, and Social Theory: Toward a Unified Philosophical Framework for Knowledge Production in the Age of AI

The rapid integration of generative artificial intelligence into research, education, journalism, and everyday cognition has transformed not only how knowledge is produced and circulated, but also how the very philosophical categories used to analyze knowledge must be reconceived. Yet the philosophical disciplines best equipped to address this transformation — epistemology, philosophy of technology, and social theory — continue to operate in relative isolation from one another. This paper argues that no single discipline, taken on its own, can adequately account for the epistemic conditions of the algorithmic age, and that a genuine understanding of knowledge production today requires a unified philosophical framework that draws these traditions into sustained dialogue.

The paper develops three interrelated arguments. First, classical epistemology, with its focus on the individual knower and the justification of belief, is insufficient for analyzing knowledge that emerges from distributed human–machine systems. Second, philosophy of technology, while attentive to artifacts and infrastructures, has often underdeveloped its engagement with the normative dimensions of epistemic agency. Third, social theory — particularly Daniel Bell's account of the post-industrial knowledge society, Helga Nowotny's notion of socially robust knowledge, and Luciano Floridi's philosophy of information — offers indispensable resources for situating AI within institutional and political contexts, yet remains underutilized in mainstream epistemological debates.

To bridge these traditions, the paper proposes the concept of distributed epistemic agency: a framework in which epistemic validity, accountability, and interpretive authority are negotiated across human researchers, algorithmic systems, and institutional infrastructures, rather than reduced to any single locus. This concept is presented not as a replacement for existing approaches, but as a metaphilosophical bridge that allows epistemology, philosophy of technology, and social theory to inform one another in addressing shared problems — including algorithmic opacity, the erosion of human cognitive autonomy, the legitimacy of AI-mediated expertise, and the redistribution of epistemic responsibility in contemporary knowledge institutions.

Methodologically, the paper combines critical literature review with a discourse analysis of recent AI policy documents from UNESCO, the European Union, and the OECD, examining how these documents implicitly mobilize — and often conflate — epistemological, technological, and sociological assumptions. The analysis demonstrates that current policy discourse would benefit substantially from a more integrated philosophical foundation.

The paper concludes that the age of artificial intelligence does not merely raise new questions for existing philosophical subfields; it calls for a philosophical unification of inquiry capable of rethinking knowledge production as an inherently hybrid, distributed, and socio-technical phenomenon. Such a unified framework, the paper argues, is not only intellectually overdue but ethically and politically necessary for navigating the algorithmic transformations of the contemporary knowledge society.