✨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
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Articles & links
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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Recent commentary
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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