The Who's Who of AI

“A study presents a human-algorithm approach to enhance the FDA's 510(k) device clearance, reducing recall rates by 32.9% and workload by 40.5%. This may save the U.S. healthcare system around $1.7 billion annually, showcasing data-driven policy benefits for…”

“Albert Sadowski, Jaros{\l}aw A. Chudziak On Measuring Semantic Preservation in Legal Ontology Learning https://arxiv.org/abs/2608.12326”

“Hadi Mohammadi, Shihan Wang, Masoume M. Raeissi, Anastasia Giachanou Reliability-Aware Sexism Detection: Combining DPO with Annotator Agreement and Token-Level Confidence Scoring https://arxiv.org/abs/2608.12330”

“Anna Neumann, Holli Sargeant and Jat Singh argue that system prompts alone don't predict model behavior, so AI safety assessments must evaluate a system's outputs, not solely its written instructions.”

“Venita Subramanian argues that state disclosure laws for AI companion chatbots are a meaningful first step, but that hourly reminders can't prevent emotional overreliance or protect minors in crisis, and that UX design must do more of that work.”

“You can also follow these posts as a daily blog at pluralistic.net: no ads, trackers, or data-collection! Here's today's edition: pluralistic.net/2026/08/14/o... 23/”

“Enhan Li, Junhao He, Hongyang Du CROP: Task Relevance via Counterfactuals for Selective On-Policy Distillation https://arxiv.org/abs/2608.13387”

“Governments from the EU to Malaysia and India can pursue very different policies—all branded "AI sovereignty." Haakon Huynh argues the concept is so fuzzy it can justify almost anything, and governments are spending without defining it.”

“Courts are finally starting to treat feeds and chatbots as products and to address harmful design, writes Courtney Radsch, director of the Center for Media & Digital Governance at Open Markets Institute—a turn with consequences for Meta, TikTok, and the AI …”

“What is really crazy about this situation is that I just had another paper admitted into arXiv that is not (yet) published but also in the very atypical format (DIS Pictorial) arxiv.org/abs/2606.30828. I just don't get it. It's stochastic and ineffable.”

“When AI is asked to govern AI: "several systems’ proceduralized verification requirements shift the evidentiary basis of agency toward documentation compliance. Much of the systems’ apparent computational originality derives from human regulatory-design" re…”

“Researchers unveiled Dual-Anchored Policy Distillation (DAPD), a framework that mitigates the "privilege illusion" in on-policy distillation. This innovation enhances language model performance, achieving up to 2.78 points improvement. https://arxiv.org/abs…”