Draft:AI Incident Database

AI Incident Database
	The logo of the AI Incident Database (AIID)
Owner	Responsible AI Collaborative
URL	incidentdatabase.ai
Launched	2020; 5 years ago

Submission declined on 1 November 2025 by Robert McClenon (talk).

This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are:

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Declined by Robert McClenon 15 days ago. Last edited by Robert McClenon 15 days ago. Reviewer: Inform author.

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Comment: This draft does not have enough information to satisfy general notability. It may be resubmitted after expansion. Robert McClenon (talk) 18:11, 1 November 2025 (UTC)

The AI Incident Database (AIID) is an open-source database that catalogs incidents and accidents involving artificial intelligence systems.^[1]^[2]^[3] Originally sponsored by the Partnership on AI,^[4] it is now independently operated by the Responsible AI Collaborative, a non-profit organization.^[5]^[6]

External links

Category:Artificial intelligence Category:AI Safety

References

^ McGregor, Sean (2021-05-18). "Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database". Proceedings of the AAAI Conference on Artificial Intelligence. 35 (17): 15458–15463. doi:10.1609/aaai.v35i17.17817. ISSN 2374-3468.
^ Simonite, Tom. "Don't End Up on This Artificial Intelligence Hall of Shame". Wired. ISSN 1059-1028. Retrieved 2025-10-20.
^ Ferdowsi, Samir (2020-11-23). "This Database Is Finally Holding AI Accountable". VICE. Retrieved 2025-10-20.
^ McGregor, Sean (2020-11-18). "When AI Systems Fail: Introducing the AI Incident Database". partnershiponai.org. Partnership on AI. Retrieved 2025-10-20. Avoiding repeated AI failures requires making past failures known. Therefore, today we introduce a systematized collection of incidents where intelligent systems have caused safety, fairness, or other real-world problems: The AI Incident Database (AIID).
^ "The details about who and why for database". AI Incident Database. Retrieved 2025-10-20.
^ "About". Responsible AI Collaborative. Retrieved 2025-10-20.

[1] McGregor, Sean (2021-05-18). "Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database". Proceedings of the AAAI Conference on Artificial Intelligence. 35 (17): 15458–15463. doi:10.1609/aaai.v35i17.17817. ISSN 2374-3468.

[2] Simonite, Tom. "Don't End Up on This Artificial Intelligence Hall of Shame". Wired. ISSN 1059-1028. Retrieved 2025-10-20.

[3] Ferdowsi, Samir (2020-11-23). "This Database Is Finally Holding AI Accountable". VICE. Retrieved 2025-10-20.

[4] McGregor, Sean (2020-11-18). "When AI Systems Fail: Introducing the AI Incident Database". partnershiponai.org. Partnership on AI. Retrieved 2025-10-20. Avoiding repeated AI failures requires making past failures known. Therefore, today we introduce a systematized collection of incidents where intelligent systems have caused safety, fairness, or other real-world problems: The AI Incident Database (AIID).

[5] "The details about who and why for database". AI Incident Database. Retrieved 2025-10-20.

[6] "About". Responsible AI Collaborative. Retrieved 2025-10-20.

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See also

External links

References