Global annual number of reported artificial intelligence incidents and controversies
What you should know about this indicator
- The AI Incident Database (AIID) collects reports of cases where AI systems have caused or nearly caused harm.
- Incidents include a wide range of harms, such as harmful AI-generated content, deepfake impersonation, biased facial recognition leading to wrongful arrests, and accidents involving AI systems.
- Entries are reviewed by human editors based on publicly available sources, including academic research and investigative journalism.
- Because reporting relies on publicly available sources, incidents are likely undercounted, especially in regions with less media coverage.
- The database is continuously updated, including for past years, so figures may change over time and may not match the latest totals reported by AIID.
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This data is based on the following sources
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“Data Page: Global annual number of reported artificial intelligence incidents and controversies”, part of the following publication: Charlie Giattino, Edouard Mathieu, Veronika Samborska, and Max Roser (2023) - “Artificial Intelligence”. Data adapted from AI Index Report. Retrieved from https://archive.ourworldindata.org/20260424-104218/grapher/annual-reported-ai-incidents-controversies.html [online resource] (archived on April 24, 2026).How to cite this data
In-line citationIf you have limited space (e.g. in data visualizations), you can use this abbreviated in-line citation:
AI Incident Database via AI Index Report (2026) – with minor processing by Our World in DataFull citation
AI Incident Database via AI Index Report (2026) – with minor processing by Our World in Data. “Global annual number of reported artificial intelligence incidents and controversies” [dataset]. AI Index Report, “AI Index Report” [original data]. Retrieved April 24, 2026 from https://archive.ourworldindata.org/20260424-104218/grapher/annual-reported-ai-incidents-controversies.html (archived on April 24, 2026).Download
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