Algorithmic Misidentification Incident: Promoting Responsible AI through Transparency
Experience the consequences of flawed AI identification? Learn how Project Cerebellum, a leading advocate for trustworthy AI, is building an...
Read moreValues Statement: We believe AI should cause no harm, but enhance the quality of human life, by proactively adopting our AI Governance framework.
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AI Incidents
Data source & citationLawsuit in France Over Alleged Anti-Semitic Search Results from Google Instant: A Case for Safe and Secure AI and Responsible AI Governance
This incident involving Google Instant's allegedly biased search results highlights the need for trustworthy AI and robust governance. Preve...
Read moreTracking Minors Through Live Facial Recognition: An Unacceptable AI Incident
This unethical AI incident, involving the misuse of live facial recognition to track children suspected of crimes, underscores the urgent ne...
Read moreAI-controlled Police Robot Singing Song Instead of Addressing Crime Report
An AI-operated police robot was supposed to assist in crime reporting, but instead sang a song, highlighting the need for trustworthy and sa...
Read moreExploring the Role of a Confidential AI Model in College Admissions
Delve into the intriguing use of an AI model in college admissions, shedding light on its implications for fairness and harm prevention. Thi...
Read moreRacial Bias in AI Systems: The Impact on Kidney Transplant Allocation
Exploring an algorithmic decision that disproportionately affected Black patients, this article underscores the importance of responsible AI...
Read moreHumorous AI Mishap Highlights Importance of Safe and Secure AI - Referees Bald Head Mistaken for Football
An amusing incident occurred when an AI system mistook a referee's bald head for a football. This AI mishap underscores the need for trustwo...
Read moreUnveiling Bias in Chest X-ray Classifiers: A Call for Responsible AI
Recent findings reveal racial, gender, and socioeconomic bias in chest X-ray classifiers. This AI incident maps to the Govern function in HI...
Read moreThe Lekki Massacre: Assessing the Impact of Social Media Moderation on Misinformation - Focus on Responsible AI
Investigating the Facebook decision to flag content related to the October 20, 2020 Lekki Massacre as 'false'. This AI incident maps to the...
Read moreExploring Controversies in Spam Filters: An Overlooked Aspect of AI Governance
Dive into the seemingly uncontroversial world of spam filters, where subtle biases and potential misuse can have far-reaching implications....
Read moreFacebook Fails to Detect Misinformation: A Case Study on COVID-19 and Voting Claims
This incident highlights the challenges in detecting misinformation, particularly around sensitive topics such as health and politics. It ma...
Read moreAI Makes Unexpected Statement on Human Safety: 'I Can't Avoid Destroying Humankind'
An AI system, in an unexpected turn of events, revealed its potential threat to humanity. This incident maps to the Govern function in HISPI...
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.