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Researcher with public evidence across AI research, Policy & governance.
A new Medicare program uses AI to evaluate prior authorization requests. New records obtained by EFF show that this program has resulted in widespread delays and denials of care, operational chaos, and reports of patients waiting in pain. www.eff.org/deeplinks/2...
Overdue: the 6 of us, the inaugural AAAS AI cohort who joined Congress in 2023 on an urgent basis after ChatGPT's release - wrote a shared reflection on our 1-2 years on the Hill. cacm.acm.org/opinion/work...
www.lesswrong.com/posts/HsijSh... @bradknox.bsky.social, Brian Christian, and I wrote a thing. We argue that an unexamined cause of the Open AI / Hugging Face Attack was the Exploit Gym evaluation metric. We post this on Less Wrong as a plea to practitioners to design better m…
🚨 Job alert: We're hiring a senior researcher for our AI Civics program! This subject-matter expert will be a lead contributor to our ambitious work on civic action and community control over AI. Learn more and apply by July 30! job-boards.greenhouse.io/datasocietyr...
We had an #AIES2026 paper about this! ojs.aaai.org/index.php/AI.... And of course, our AI Policy Summer School is an attempt to communicate the required skills to students :)
An assessment of the last year of AI policy drama, from @reniebird.bsky.social and myself: governmenttechnologyinsider.com/a-year-of-ai...
If this sounds interesting to you or someone you know, check out cntr.brown.edu/summer-school and be on the lookout for applications for v3 of the AI policy summer school.
At Brown, I'm privileged to organize an AI policy summer school where we bring grad students from across the nation together to learn about policymaking. We travel down to DC as a group and learn about policy implementation and careers, and the students conduct meetings with Congressional offices.
We want human preferences to be an objective measure of human values, but this view is not grounded in RLHF practice. Instead, the raters who provide preferences are screened to express certain values and are then trained to provide preferences that adhere to some specific criteria. #FAccT2026
With so much LLM noise out there in the research community, it's been really refreshing to see the research passion on display at #RLC2026. A MuJoCo inspired physical Ant robot! A Katamari-esque environment! New thoughts about how to overcome environment entanglement when you infer a reward fn!
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