Does More AI Regulation Actually Reduce Corporate Control?
A June 2026 preprint argues more AI regulation can reduce corporate control, pushing compliance outside engineering teams and eroding oversight of deployed models.
The archive · Page 3 of 4
Ethics, Policy & Safety
Where AI safety claims collide with reproducible measurement, where training-data harvesting collides with consent, and where deployment outruns the laws and norms meant to constrain it.
The archive
49–72 of 88 articles · Newest first
When an LLM Sets Your Price, Whose Long-Term Value Wins?
AIGP's pricing 'alignment' targets platform GMV and ROI over 14 days with no buyer-welfare term, leaving consumers to detect price discrimination from the tag alone.
Combining LLMs Doesn't Escape Shared Failures: A 67-Model Test
A 67-model test proves ensemble accuracy cannot exceed 1 minus β. Pairwise correlation underprices β by 2.5x, making multi-model agreement an unreliable governance check.
Task-Focused VLMs Suppress Hazards They Detect in Isolation, June 2026 Preprint Finds
A June 2026 preprint finds VLMs suppress hazard reports under task load while passing direct-probe evals, indicating safety scores overstate protection in actual deployment.
50 Years of Aviation Certification Expose a Structural Gap in AI Governance
A June 2026 arXiv paper argues AI governance lacks the epoch limits and proof surfaces that 50 years of aviation certification built in, breaking one-time approval stamps.
Do Reasoning Tokens Actually Make LLMs Safer? A New Paper Tests It
A June 2026 preprint finds refusal decisions are locked at a model's first token, undercutting the safety case for premium reasoning modes billed per thinking token.
Machine-Readable AI Usage Terms: Does ODRL's Permission Model Hold Up?
A June 2026 preprint grounds ODRL's permissions and prohibitions in the UFO-L legal ontology, naming who holds the power to declare a violation in vendor AI usage policies.
Who Audits the Safety Rules an LLM Agent Evolves for Itself?
AutoSpec grows LLM agent safety rules from annotated traces and hits 0.98 F1, but readable rules do not prove the rule set is complete. That is the open governance question.
When Vibe-Coded Software Is Safety-Critical, Who Verifies It?
A June 2026 preprint argues vibe-coded code cannot certify under aviation or automotive safety standards, shifting the audit object from prompt to verification artifact.
Can You Trust an AI Robustness Certificate? A Paper Says Verify It
A June 2026 preprint sharpens how neural-network robustness certificates are computed, but verifiers that issue them can return wrong verdicts and miss planted backdoors.
Can a Benchmark Catch When AI Discharge Summaries Drop Care Steps?
CareTransition-Audit scores 11 LLMs on whether AI discharge summaries keep every follow-up and medication step. The best reach moderate clinician agreement, kappa near 0.5.
Do LLM Personality Tests Measure Anything? A New Paper Says No
A June 2026 arXiv preprint finds 81 to 90 percent of LLM personality test variation stems from directional response bias, undermining persona and safety scores.
Community LoRA Mining Raises a Consent Gap for Style Generation
FreeStyle, a June 2026 preprint, mines community LoRA adapters as training data for image generation, shifting licensing burden onto contributors and platforms like Civitai.
When an LLM Narrates a Solver, the Explanation Drifts From the Math
A June 2026 arXiv paper isolates the narration gap in LLM-solver loops: prompt injection can invert a verified verdict at the prose stage, breaking reasoning-log audits.
Grading DiffusionGemma: How an Open-Weight Diffusion Model Scores on Transparency
An arXiv paper finds DiffusionGemma's opaque serial depth collapses from 28.6x to 1.1x via a token bottleneck, though its model card leaves training data unitemized.
Who Owns Editorial Authority When LLMs Mediate Knowledge?
A June 2026 preprint argues no role in the LLM pipeline holds editorial sign-off for what answer engines surface as public knowledge, framing it as a governance gap.
Vector Database Access Control Is Missing, and RAG Pipelines Pay for It
Production vector databases enforce access control at the collection boundary, not per embedding, so RAG retrieval can leak chunks a user's row-level policy blocked.
GLM-5.2 MIT Weights vs Llama License: Self-Hosting Compliance for Regulated Industries
GLM-5.2 ships under MIT, removing the Llama usage-threshold audit burden, but finance and healthcare teams still face compliance gaps when self-hosting this 753B MoE model.
Can Reinforcement Learning Be Provably Safe Without Sacrificing Scale?
Two June 2026 preprints claim formal safety guarantees hold without a capability tax in low-dimensional robotic control, sharpening the attestation-versus-verification gap.
US Export Order Forces Anthropic to Disable Fable 5 and Mythos 5 Worldwide
A Commerce Department export order citing national security bars all foreign nationals from Fable 5 and Mythos 5, so Anthropic switched both models off worldwide.
Fable 5 Biology Classifiers: How Flagged Prompts Fall Back to Opus 4.8
Fable 5 ships broad biology and chemistry classifiers that route flagged prompts to Opus 4.8. Here is what that fallback means for biotech teams and long-running workflows.
Bit-Exact Inference Verification Gives AI Audits a Proof Mechanism
An arXiv preprint shows GPU inference outputs can be reproduced bit-for-bit across hardware, giving auditors a forensic trail to verify which model produced a given output.
Can a Robot's Own Attention Flag Its Unsafe Actions Before They Run?
Two June 2026 preprints show VLA robot policies already compute safety-relevant signals at inference, enabling real-time collision monitors with no retraining.
Can One Safety Adapter Realign Every Fine-Tuned LLM?
Three papers show safety alignment can be extracted as a portable adapter and reapplied to fine-tuned models, replacing per-model alignment with one adapter per model family.