A task-level expertise database for ISCO-08, the international standard that allows for cross-country comparisons, is built and shows that generative AI reaches the tasks that make an occupation expert in some occupational groups but not others.
A growing literature measures how far occupations are exposed to AI, but these measures capture where AI could perform tasks, not whether workers have adopted it. We propose a new layer of exposure, delegated exposure, which records whether a worker has committed a task to AI by building it into a workflow. We operatio...
KV-Skill is introduced, a design space of external factorized operators that a frozen language model reads through a lightweight interface that shows that task knowledge can be acquired from text or experience, compressed into an external operator, and deployed separately from the backbone.
Zhaowei Han, Xiang Zhang, Bing Han et al.· 1 citation
This work defines a grouping metric, specify a harness, and shows how tracking a human-AI pair's grouping over time yields the compounding signal that Paper 1's field study requires.
NameRank, a [0,1] recognition score, is built: recognition is paid to named, indexable artifacts, not to credentials or titles, because recognition attaches to the artifact's own distinctive name, not to the roster behind it.
A new measure of curricular exposure to large language models is constructed by combining task-level estimates of LLM capabilities with course descriptions from more than 1,000 U.S. colleges and universities, showing that colleges have recognized the instructional challenge posed by generative AI but have made limited...
JacobLight, David Autor, Nick Bloom et al.· 0 citations
A lot of research attention has been devoted to checking whether large language models (LLMs) are politically biased. This work has largely focused on high-level ideological dimensions, such as left--right or progressive--conservative, and it has been shown that while LLMs are predominantly left and progressive leaning...
Dmitry Nikolaev· arXiv.org· 0 citations
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