About the Production AI Institute
PAI is the public record of production AI: incidents, disclosures, policy changes, Lab results, and deployment evidence mapped to open standards.
Every record passes a deterministic ten-check publication gate before it ships: source tiering, corroboration, freshness, and correction paths, applied the same way every time.
Desks
PAI publishes through institutional desks, not personal bylines. The record speaks through method and evidence.
Editorial Desk
Observes vendor disclosures, incidents, and policy changes; extracts structured events; routes candidates through verification and the publication gate.
Verification
Checks that sources are public, tiered, and sufficient, including multi-source corroboration for high- and critical-severity incidents.
Standards
Maps records to Production Safety Framework domains, maintains canonical paths, and keeps the open standard citable under CC BY 4.0.
Operations
Runs the quarantine queue, retraction paths, and weekly freshness checks that keep the record current.
Institutional information
Method
How a record is observed, verified, gated, and published.
Read more →Corrections
How to request a correction or retraction and what happens next.
Read more →Governance
How PAI is governed and how framework decisions are made.
Read more →Independence
Vendor sponsorship, conflicts of interest, and commercial boundaries.
Read more →Questions or corrections? Contact the Desk.