How (un)Stable Are LLM Occupational Exposure Scores? Evidence from Multi-Model Replication
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下载链接：
https://www.nber.org/papers/w35110
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资源简介：
A rapidly growing literature estimates AI's labor-market effects using large language models (LLMs) to self-assess occupational exposure. We demonstrate these measures are highly fragile. Replicating the dominant rubric with three frontier models on identical tasks, we find a 3.6-fold divergence in
提供机构：
美国国家经济研究局
创建时间：
2026-04-01
