These visualizations are experimental and still being refined. Designs and data presentation may change.

Multi-Harm Incidents

Incidents that score high across multiple harm categories simultaneously represent especially damaging events. This visualization filters incidents by their summed direct severity score across all 10 harm categories, highlighting those causing significant harm in more than one dimension.

Discrimination & Toxicity

Privacy & Security

Misinformation

Malicious Actors & Misuse

Human-Computer Interaction

Socioeconomic & Environmental

AI System Safety, Failures & Limitations

Key Takeaways

1.1,122 incidents have a summed direct severity score exceeding 10 across the 10 harm categories.
2.Malicious Actors & Misuse accounts for the largest share of multi-category severe incidents at 44% (497 incidents).
3.Multi-category severe incidents decreased by 84% from 2025 to 2026 (331 to 52).
4.Socioeconomic & Environmental showed the largest absolute increase over the last 3 years, growing by 2 incidents in multi-category severity.

Source data from the AI Incident Database and MIT AI Risk Repository. Incidents prior to 2015 not shown.