Bumping our paper as we get closer to #FAccT2026!
After a 41-day wait, our paper finally made it through the arXiv machinery!
If you're interested in whether system prompts serve as robust governance, have a read and come say hi in Montréal.
🔗 arxiv.org/abs/2606.075... @annaneumann.bsky.social
ML estimates or predicts future outcomes under uncertainty. Different types of uncertainty raise different legal issues.
I distinguish between aleatoric & epistemic uncertainty, define a form of legally-conditioned epistemic uncertainty, to map how each can contribute to discriminatory outcomes.
Can you regulate AI with its instructions?
Our #FAccT2026 paper (w/ @annaneumann.bsky.social & Jat Singh) tests that assumption against research literature, EO 14319 & EU GPAI Code.
“Remember that all models are wrong; the practical question is how wrong they have to be to not be useful.”
Usually treated as a technical question, in my new article in the Modern Law Review, I argue it is also a legal one.
doi.org/10.1111/1468...
The UK has repealed Article 22 of the GDPR. What replaces it?
For Oxford Business Law Blog, I argue the Data (Use and Access) Act 2025 creates 3 structural gaps that leave consumers vulnerable to automated decisions.
Blog: shorturl.at/HRH5f
Article: doi.org/10.1016/j.cl...
#LawSky #AIPolicy
In doing so, I develops a framework for mapping modelling & design choices across the ML pipeline onto the Equality Act and the procedural aspects of proving these claims in court.
Very grateful to the reviewers, @modernlawreview.bsky.social team, & colleagues who have helped shape these ideas!
Automated decisions are increasingly made by opaque models—the UK’s DUAA amendments to #GDPR makes them even harder to challenge. My new article in @elsevierconnect.bsky.social CL&SR sets out what’s at stake and how to fix the explainability gap. #LawSky
doi.org/10.1016/j.cl...
Prompt governance is not inherently wrong. But treating a sentence as a safeguard, without sufficient evidence, risks creating a compliance illusion rather than meaningful oversight.
Hopefully see you in Montréal!
🔗 ssrn.com/abstract=680...
"We analyze all papers published at ACL, NAACL, and EMNLP in 2024 and 2025... nearly 300 papers contain at least one HalluCitation... Notably, half of these papers were identified at EMNLP 2025 ... indicating that this issue is rapidly increasing."
https://www.arxiv.org/abs/2601.18724
🧵 How do companies in highly regulated domains actually test their AI systems for and mitigate discrimination? Our new @upturn.org paper at @facct.bsky.social w/ Emily Black, @mbogen.bsky.social, @s010n.bsky.social, and @wesleydeng.bsky.social, tries to answer this question: arxiv.org/abs/2606.02957
