This is wild, but really great investigative journalism. I guess all the jailbreaking papers trying to prevent "How do I build a bomb?" queries have been vindicated... So much for it being an unrealistic scenario... www.nytimes.com/2026/07/10/u... casp.ac/reports/ai-e...
Who's Who of AI
Peter Henderson
Why they matter
Researcher with public evidence across AI research, Policy & governance.
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- 14d ago
Assistant Professor the Polaris Lab @ Princeton (https://www.polarislab.org/); Researching: RL, Strategic Decision-Making+Exploration; AI+Law
What they're sharing
nytimes.com
How Can AI Augment Access to Justice? Public Defenders' Perspectives on AI Adoption arxiv.org
Legal Retrieval for Public Defenders arxiv.org
Trump Administration Asks OpenAI to Stagger Release of New Model Over Security Concerns theinformation.com
CASP — Cambridge Programme on AI Science & Policy | University of Cambridge casp.ac
AI that empowers public defenders! trialserrors.ai
NEW JERSEY OFFICE OF THE PUBLIC DEFENDER LAUNCHES OPD RESOURCE LIBRARY nj.gov
AI "Born Secret"? The Atomic Energy Act, AI, and Federalism trialserrors.ai
Articles & links
Links! - NJOPD press release tinyurl.com/ycxyr5vt - Cheong et al., 2026 arxiv.org/abs/2510.22933 - Stammbach et al., 2026 arxiv.org/abs/2601.14348
AI Weekly's analysis
→
- The paper reports on semi-structured interviews with 17 public defense professionals across the United States about where AI could support their work.
- Evidence investigation, such as reviewing large volumes of digital records, was identified as the area with the greatest potential for AI support.
- AI adoption is constrained by costs, restrictive office norms, confidentiality risks, and unsatisfactory tool quality, according to the interviewees.
Read full analysis →
Links! - NJOPD press release tinyurl.com/ycxyr5vt - Cheong et al., 2026 arxiv.org/abs/2510.22933 - Stammbach et al., 2026 arxiv.org/abs/2601.14348
AI Weekly's analysis
→
- A team partnered with the New Jersey Office of the Public Defender to build NJ BriefBank, a tool that surfaces relevant appellate briefs.
- The paper reports that existing retrieval benchmarks fail to transfer to real public defense research.
- Adding domain knowledge such as query expansion with legal reasoning, domain-specific data, and curated synthetic examples improved retrieval quality.
Read full analysis →
"Altman told staff that the government would be 'approving access customer by customer during this preview period'" Opaque de-facto licensing regimes are a recipe for corruption. Not sure this is the best place to have landed on AI governance... www.theinformation.com/articles…
This is wild, but really great investigative journalism. I guess all the jailbreaking papers trying to prevent "How do I build a bomb?" queries have been vindicated... So much for it being an unrealistic scenario... www.nytimes.com/2026/07/10/u... casp.ac/reports/ai-e...
And longer substack post: open.substack.com/pub/trialser...
Links! - NJOPD press release tinyurl.com/ycxyr5vt - Cheong et al., 2026 arxiv.org/abs/2510.22933 - Stammbach et al., 2026 arxiv.org/abs/2601.14348
The Fable export control is just one potential method that the government can use to pull models offline. The gov could also eventually use the Atomic Energy Act, saying that a model is "born secret" if it can reconstruct classified nuclear secrets. Check out blogpost on it!👇
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I suspect much of the public would react very differently to AI (and toward AI co employees) if it was built like the NASA moon-landing, focusing on hard public good projects and by civil servants. 🤷♂️
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