Dallas Card

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Researcher with public evidence across AI research, NLP & language.

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Assistant professor at https://si.umich.edu/ working in computational social science, machine learning, and NLP | https://dallascard.github.io

Articles & links

As some may have heard me talk about at #ACL2026, I'm excited to share a new preprint on approaches to validation when using LLMs to measure concepts in social science, led by @madesai.bsky.social and @azjacobs.bsky.social !! Paper: arxiv.org/abs/2607.07915

Validating LLMs in social science: Epistemic threats and emerging norms arxiv.org
AI Weekly's analysis
  • A new arXiv paper argues LLM-generated measurements now play a central role in social-science empirical analyses, yet validation practices are inconsistent and limited.
  • The authors systematically analyzed papers from eight flagship social-science journals that use LLMs as measurement instruments, such as data labelers or survey-response simulators.
  • They flag bias, hallucination, and brittleness across contexts as the epistemic threats, and outline complementary validation strategies rather than a single fixed standard.
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View on Bluesky · ♥ 64 ↻ 19 ↩ 5 · 2 from the directory shared this · 60d ago

Also relevant is work by @ahalterman.bsky.social and @katakeith.bsky.social on codebooks and conceptualization (arxiv.org/abs/2510.03541), and the paper by @dashapruss.bsky.social and Jessie Allen on AI jurisprudence (ojs.aaai.org/index.php/AI...).

ojs.aaai.org
View on Bluesky · ♥ 2 ↻ 0 ↩ 1 · 60d ago

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