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Eloundou et al.

personactiveprovisionaleloundou-et-al--a1eb28f9·1 events·first seen 6d ago

Aliases: Eloundou et al.

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5arXiv · cs.AI·6d ago·source ↗

Critical review of AI exposure scores: methodological limits and research-policy coordination gaps

A new arXiv paper critically examines the 'GPTs are GPTs' occupational exposure scores (Eloundou et al., 2023), which have become a dominant empirical input to future-of-work policy debates. The authors identify two compounding gaps: structural limitations of static exposure scores (temporal, geographic, ontological) versus what policy questions actually require, and a coordination failure between researchers and policymakers who continue citing outdated measures. The paper surveys five families of methodological responses and argues that closing the research-policy gap requires participatory methods, better data infrastructure, and a shift from prediction to preparedness.