Abstract

This paper explores how generative AI technologies like ChatGPT and Gemini are reshaping knowledge production and dissemination. While AI offers democratized access to information, it also disrupts traditional norms of intellectual authority and epistemic rigor. Drawing on the role of the rejection mechanism in scholarly publishing, the essay argues that AI lacks critical filtering mechanisms, risking the amplification of bias, misinformation, and oversimplified narratives. It advocates for robust validation frameworks and intellectual humility in both human and machine learning processes. Ultimately, it calls for careful reflection on AI’s epistemic limits and its role within evolving knowledge ecosystems.