A pediatric surgeon and researcher hypothesizes that artificial intelligence is eroding the self-correction mechanisms of science, a phenomenon they term "epistemic immunodepression." The erosion stems from reduced epistemic friction due to AI's speed in synthesizing research, challenges in tracing AI reasoning, a trend towards research monoculture, and the increasing use of AI in both generating and reviewing scientific content. Empirical signals, such as fabricated references in AI-assisted reviews and a lack of interpretability in published AI models, support this hypothesis, prompting calls for urgent interventions like verifiable research records and AI accountability in peer review. AI
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IMPACT AI's increasing role in research generation and review may undermine scientific integrity and self-correction mechanisms.
RANK_REASON The cluster presents an opinion piece by an individual researcher on the potential negative impacts of AI on scientific integrity, rather than a direct release of new research findings or a model.