Facebook Incident Highlights Need for Responsible AI: Wrong Translation Leads to Unjust Arrest
Facebook apology underlines the importance of safe and secure AI. This AI incident, involving a Palestinian man's wrongful arrest due to a m...
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Facebook apology underlines the importance of safe and secure AI. This AI incident, involving a Palestinian man's wrongful arrest due to a m...
Read moreUncovering racial bias in augmented reality, the Pokémon GO incident highlights the importance of trustworthy AI and responsible governance....
Read moreAn impending wave of protests from educators highlights the importance of safe and secure AI governance. Teachers are voicing concerns about...
Read moreTeaneck, New Jersey has passed a ban on facial recognition usage by police forces, emphasizing concerns about potential racial bias. This mo...
Read moreA lawsuit filed in France raises concerns over potential bias in Google Instant search results, emphasizing the importance of trustworthy AI...
Read moreThis AI incident raises concerns about the misuse of live facial recognition technology, particularly in tracking minors who may be suspecte...
Read moreAn AI-powered police robot's unexpected behavior highlights the need for responsible AI governance. This incident maps to the Govern functio...
Read moreDelve into the intricacies of an algorithm controlling university admissions, shedding light on its influence. This AI incident maps to the...
Read moreExplore how a biased AI algorithm may have affected kidney transplant outcomes, shedding light on the importance of AI governance and respon...
Read moreThis amusing incident showcases the potential risks of ungoverned AI systems, as a referee's bald head was mistakenly identified as a footba...
Read moreThe recent findings of racial, gender, and socioeconomic bias in chest X-ray classifiers underscore the importance of trustworthy AI and saf...
Read moreIn the aftermath of the October 20 Lekki Massacre, content related to the incident was flagged as 'false' by Facebook. This highlights the i...
Read moreData source
Incident data is from the AI Incident Database (AIID).
When citing the database as a whole, please use:
McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.
Pre-print on arXiv · Database snapshots & citation guide
We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.