Conceptual analysis demonstrates the necessity of epistemic reflexivity in AI-assisted science, highlighting the need to safeguard intellectual diversity against scientific monoculture.
Key Points
To examine how epistemic reflexivity can mitigate the risk of scientific monoculture and preserve intellectual diversity in generative AI-augmented research.
Presented a conceptual framework analyzing the dual role of generative artificial intelligence in scientific inquiry.
Evaluated institutional and individual practices required to critically assess generative AI tools and their epistemological impacts on science.
Identifies the uncritical adoption of generative artificial intelligence as a major driver toward scientific monoculture and diminished intellectual diversity.
Positions generative AI dual-functionally: as a mechanism to prompt reflexive self-examination and as an artifact requiring rigorous epistemic critique.