AI Incident Tracker

Harm Taxonomy

Harm categories based on the CSET Harm Taxonomy: https://cset.georgetown.edu/wp-content/uploads/20230022-Adding-structure-to-AI-Harm-FINAL.pdf

Scores reflect impacts ranging from 1 (‘Negligible’) to 5 ('Catastrophic’)

‍

Explore Other Views

Incident Timeline

View numbers of reported incidents each year split or filtered by risk domain, entity, timing, harm severity or primary AI purpose.

Incident Overview

View how incidents in the AI Incident Database are classified using the MIT AI Risk Repository’s causal and domain taxonomies, along with risk levels defined by the EU AI Act. Filter by risk domain, timing, entity, AI purpose or severity of harm caused.

Incident View

View detailed analysis of each AI incident in the incident database, including how the incident is classified, how severe the harm is (across 10 categories of harm), and the classification confidence.

NatSec Incident View

National Security impact assessment for each AI incident in the database, including 5 categories of impact and threat classification (novelty, imminence, autonomy)

NatSec Impact Framework

This framework offers a structured methodology to assess the national security implications of AI-related incidents. It is intended to be applicable across different nations, grading the impact to the primary target country and identifying other nations that were also affected.