AI RESEARCH
AI-Assisted Scientific Assessment: A Case Study on Climate Change
arXiv CS.CL
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ArXi:2602.09723v2 Announce Type: replace The emerging paradigm of AI co-scientists focuses on tasks characterized by repeatable verification, where agents explore search spaces in 'guess and check' loops. This paradigm does not extend to problems where repeated evaluation is impossible and ground truth is established by the consensus synthesis of theory and existing evidence. We evaluate a Gemini-based AI environment designed to collaborative scientific assessment, integrated into a standard scientific workflow.