Latest AIPolicy and Safety intelligence

Policy and Safety

Regulation, copyright, safety evaluations, standards, and governance.

Explore guide SourcesUpdated Sep 4, 4:37 AM

Editorial photo of an empty international press briefing podium

Governance

AI rules are moving from principles to operational requirements

Policy coverage tracks laws, standards, audits, safety institutes, procurement rules, and sector guidance that can change how AI products are built and sold.

Compliance deadlines, model evaluations, incident reporting, transparency duties, and enforcement actions.

Training data and output rights remain a live business risk

Legal and licensing signals matter when they affect what companies can train on, what users can publish, and which indemnities enterprise buyers expect.

Court rulings, licensing deals, opt-out mechanisms, provenance tools, and creator-policy changes.

Safety evals

Safety claims need external tests and clear thresholds

Pagish separates safety risk from virality. A story can be popular and still fail publication if the evidence is weak, sensational, or unsafe to summarize.

Red-team results, benchmark limitations, public incident reports, and independent evaluations.

Sources