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

People Affected

Large-scale AI incidents filtered by population impact. This visualization shows incidents where more than a threshold number of people were either exposed to risk or reportedly harmed, filtered by the highest direct severity score across harm categories.

Discrimination & Toxicity

Privacy & Security

Misinformation

Malicious Actors & Misuse

Human-Computer Interaction

Socioeconomic & Environmental

AI System Safety, Failures & Limitations

Key Takeaways

1.240 incidents involved more than 1,000 people exposed to risk.
2.Malicious Actors & Misuse dominates large-scale incidents at 34% of the total (81 incidents).
3.The top 3 domains (Malicious Actors & Misuse, Discrimination & Toxicity, Privacy & Security) account for 75% of all large-scale incidents, indicating concentrated risk.
4.Large-scale incidents decreased by 95% from 2025 to 2026.

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