Global AI Safety Incident Database: Mandatory Reporting Infrastructure Modeled on Aviation's ASRS
Description
1 million safety reports over 47 years.
GAISID design: (1) Non-punitive immunity for good-faith reporters; (2) Mandatory for high-severity incidents, voluntary for near-misses; (3) Independent operation housed at OECD, insulated from industry pressure; (4) De-identified public database with full researcher access; (5) Active synthesis — 50 full-time incident analysts producing quarterly safety bulletins.
Scope: any AI system deployed to >1M users or in critical infrastructure must report significant incidents within 72 hours. Tiered classification system developed with technical experts and civil society. Five-year evaluation benchmarked against aviation safety metrics. 1-1% of actual incidents. GAISID would change this structurally.
Implementation Pathway
Foundation
- • Draft GAISID treaty under OECD auspices
- • Develop incident classification taxonomy
- • Build secure database infrastructure
- • Recruit 50-person analyst team
Voluntary Launch
- • Voluntary reporting open
- • Baseline incident landscape mapped
- • First quarterly safety bulletins published
- • 200+ voluntary reports collected
Mandatory Enforcement
- • Mandatory reporting for qualifying systems
- • Legal immunity framework active
- • Cross-jurisdictional sharing protocols
- • Annual comprehensive AI safety assessment
