Researchers are beginning to use large language models to scan, summarize, and analyze regulatory texts and deregulatory histories, treating LLMs as methodological tools rather than mere writing aids. That practice could change which questions are asked, how quickly policy tradeoffs are mapped, and who gets to claim expertise.
— If LLMs become routine tools in regulatory research, they can shift the evidence base and speed of policy debates, concentrating analytic advantage with those who control models and datasets.
Tyler Cowen
2026.03.20
100% relevant
Tyler Cowen’s link 'Using LLMs to study deregulation' (first item) signals researchers are already applying LLMs to regulatory analysis.
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