Unveiling the Truth Behind San Francisco Gunshot Sensors' Accuracy Claims
Recent courtroom testimony casts doubt on the accuracy claims made by gunshot sensor providers in San Francisco, raising questions about the...
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
TAIM catalog Map Data source & citationRobodebt: Unveiling the Potential Flaws - A Closer Look at AI Governance
The Australian Government is embroiled in a legal battle to keep confidential documents related to the controversial Robodebt system, which...
Read moreFacebook Addresses Mislabeling Incident: Responsible AI for Harm Prevention
In a recent incident, Facebook's AI system miscategorized a video of Black men as 'primates'. This unintended consequence underscores the im...
Read moreMisidentification of U.S. Congressmembers by Amazon's Face Recognition System
In a startling incident, Amazon's facial recognition technology wrongly identified 28 members of the U.S. Congress as people who appeared in...
Read moreInvestigating Alleged Bias in AI Service Identifying Gender
Recent findings suggest that an AI service, used to identify gender based on names, may exhibit significant bias. This raises concerns about...
Read moreAccusations of Unfair Punishment by Amazon's AI Cameras in Delivery Vehicles
Reports suggest that Amazon's automated camera systems are wrongly penalizing delivery drivers for errors they did not commit. The use of AI...
Read moreExamining Bias in TikTok's Algorithm: A Closer Look
A recent study suggests that TikTok's algorithm may disproportionately promote content from certain racial and ethnic groups, raising concer...
Read moreAddressing AI's Bias Towards Islam: A Responsible Approach
Exploring the challenges of AI's apparent bias towards Islamophobia, this article delves into the importance of responsible AI governance an...
Read moreControversial Use of Big Data and AI in Employee Terminations: Xsolla's Decision Scrutinized
In a move that has stirred debate, gaming services provider Xsolla terminated 150 employees using big data and AI analysis. The CEO's letter...
Read moreUnsupervised Reddit Interaction Reveals Potential Risks in Unchecked AI Use
A recent incident involving an unsupervised GPT-3 bot on Reddit demonstrated the need for responsible governance and harm prevention measure...
Read morePotential Unaided Drone Incident: Libyan Fighters Attacked
A recent incident involving attacks on Libyan fighters raises concerns about the role of potentially unaided drones in modern conflict. The...
Read moreInvestigating Allegations of Autonomous Weapons in Libya: Clarifying Facts
Recent reports have suggested the potential use of autonomous weapons in the conflict in Libya, raising concerns about accountability and hu...
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.