AI as a Research Partner: Advocating for Co-Authorship in Academic Publications

Abstract

This article critically examines the evolving role of generative artificial intelligence (AI) in scholarly authorship, challenging prevailing norms that categorically exclude AI systems from formal recognition. It argues that the current authorship framework—rooted in assumptions about human agency, legal accountability, and conscious intent—is ill-equipped to accommodate the epistemic contributions of increasingly autonomous AI collaborators. Drawing from case studies, authorship policies, and philosophical literature, the paper contends that academic integrity would be better served by adopting a contribution-based model of authorship, one that prioritizes transparency, intellectual input, and distributed responsibility over metaphysical attributes. The article concludes by calling for a proactive redefinition of authorship standards, urging scholarly institutions to adapt to hybrid human–machine knowledge production in a way that is both ethically consistent and epistemologically grounded.

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