✨New Work✨ forthcoming at #AIES2026: 1️⃣ "Data Annotation as Measurement" by me, @allisonkoe.bsky.social, and @kizilcec.bsky.social explores how data annotation can go wrong, and how measurement theory can help improve it. 🔗: arxiv.org/pdf/2608.07297
Who's Who of AI
Emma Harvey
Why they matter
Researcher with public evidence across Responsible AI, AI research.
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PhD candidate @ Cornell info sci | Responsible AI | Previously Stanford RegLab, MSR FATE, Penn | https://emmaharv.github.io/
What they're sharing
arxiv.org
Making Local Law Legible: LLM-Assisted Detection of Discrimination | Stanford HAI hai.stanford.edu
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arxiv.org
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Articles & links
Emma Harvey reposted
Local law still formally mandates racial segregation. In 2026. We built the largest dataset of local laws and used LLMs to search for discriminatory provisions across the nation. What we found should not still be on the books. hai.stanford.edu/policy/makin...
3️⃣ "Hidden Errors in Big Data: The Case of Property Records" by Evelyn Smith, me, @jacobsgoldin.bsky.social, and Dan Ho shows how errors in brokered data can obfuscate estimates of fairness in property taxation. 🔗: arxiv.org/pdf/2607.28827
2️⃣ "Context and Symmetry in Auditing: A Case Study of Skeleton Inference in Motion Capture" by me, @emoss.bsky.social, @sandhaus.bsky.social, @azjacobs.bsky.social, and @monasloane.bsky.social outlines how concepts from sociology and STS can improve AI audits. 🔗: arxiv.org/pd…
I'm so excited to attend #FAccT2026 in 🇨🇦Montreal🇨🇦 to present "Tradeoffs are Domain Dependent: Improving Accuracy and Fairness in Property Tax Assessments" by Evelyn Smith, me, Chris Berry, @jacobsgoldin.bsky.social, and Dan Ho!! 🔗: arxiv.org/pdf/2605.15020
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I'm in Cambridge MA this summer for a research internship with Apple's Responsible AI team! I am super excited to work with a great team at Apple and also to be near Flour Bakery, which I have been obsessed with since 2018. If you're here too, LMK and let's hang out (optimally at Flour 💁♀️)!!
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