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trailExposure ratings of O*NET occupational tasks by human annotators and GPT-4 reliably estimate which work tasks LLMs could affect
About 80 percent of US workers could have at least 10 percent of their tasks affected by LLMs.
Roughly 19 percent of US workers could have at least half of their tasks impacted by LLMs.
Static AI exposure scores do not measure what AI labor policy questions actually require
A factual claim that rests on inference from other evidence rather than direct observation.constitutionclaim page ↗︎
Exposure ratings of O*NET occupational tasks by human annotators and GPT-4 reliably estimate which work tasks LLMs could affect
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requiresrequirescontradicts
3depended on by
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