Knowledge Bases and Evaluation Organizations: AI Incident Database
Knowledge Bases and Evaluation Organizations · AI Incident Database. AI incident IDs, records and statistics. This source has 5 entries admitted under this category's review policy; each links directly to the original.
Authority tiers in this category: A2–B. Admission policy: All core resources are included. Each secondary source is admitted according to its own database, methodology, versions and leaderboard structure; there is no cross-organization scoring scheme.
AI Incident Database
Assigns IDs to publicly reported real-world AI harm incidents, preserves sources and provides search and classification.
Evidence use: Supports statements about whether an AI incident has been recorded, its sources and its classification.
Limitations: Relies on public reporting, with regional and language bias. Inclusion does not establish liability.
Related concepts: AI Governance and Regulation · AI Red Teaming
Link last checked: 2026-09-24
AI Incident Roundup: May–July 2026
Summarizes new incidents for the period by theme and explains incident IDs, editorial clustering and time lag.
Evidence use: Supports observations about types of AI harm and changes in public incidents over a period.
Limitations: Cannot be used to estimate real-world incidence. Case facts must be checked against the original reports.
Related concepts: AI Governance and Regulation
Link last checked: 2026-09-24
AIID Taxonomies
Provides the incident taxonomies used by AIID and their version notes in one place.
Evidence use: Supports choosing a suitable incident taxonomy and checking field definitions.
Limitations: Relies on public reporting, with language and regional bias. Classification and inclusion do not establish liability or causation.
Related concepts: AI Governance and Regulation
Link last checked: 2026-09-24
AIID Classifications and Research Tools
Provides entry points for browsing incident classifications, research data and downloads.
Evidence use: Supports structured search, analysis and review of the incident database.
Limitations: Relies on public reporting, with language and regional bias. Classification and inclusion do not establish liability or causation.
Related concepts: AI Governance and Regulation
Link last checked: 2026-09-24
CSETv1 AI Harm Taxonomy
Codes AI incidents along dimensions such as harm, affected parties, the system's role and deployment context.
Evidence use: Supports multidimensional classification and comparison of real-world AI harms.
Limitations: Relies on public reporting, with language and regional bias. Classification and inclusion do not establish liability or causation.
Related concepts: AI Governance and Regulation
Link last checked: 2026-09-24