Exploring the Incident with Microsoft's Tay Bot: A Case Study in Responsible AI
Delve into the well-publicized incident involving Microsoft's chatbot, Tay. This AI example maps to the Govern function in HISPI Project Cer...
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 & citationToddler Injured by Security Robot in Silicon Valley: A Case for Responsible AI Governance
This incident involving a toddler being knocked down and run over by a security robot highlights the urgent need for trustworthy AI. By unde...
Read moreTesla Autopilot Incident Involving Joshua Brown Highlights Importance of Safe and Secure AI
This AI incident involving Joshua Brown in a self-driving Tesla car underscores the critical need for trustworthy AI, as it maps to the Gove...
Read moreRacial Bias Incident in Google's Image Search Results Impacting Black Teenagers: A Case of AI Harm Prevention
This incident highlights the importance of safe and secure AI, specifically in image search results. It maps to the Govern function in HISPI...
Read moreAddressing Machine Bias: A Key Challenge in Trustworthy AI
Explore the challenges of machine bias and its impact on fairness in AI systems. This incident maps to the Govern function in HISPI Project...
Read moreChild Requests Music from AI, Receives Inappropriate Content - An Unfortunate Incident Highlighting the Need for Safe and Secure AI
This AI incident serves as a stark reminder of the potential dangers in our increasingly interconnected world. It maps to the Govern functio...
Read moreIncident Analysis: Amazon AI Misstep in Cell Phone Case Production - Emphasizing Responsible AI Governance
An unanticipated error occurred in the production of cell phone cases by Amazon's AI, highlighting the importance of responsible AI governan...
Read moreRobodebt: Revealing Potential Failures in Government AI Implementation - A Look into Responsible AI Governance
This AI incident involving the government's use of robodebt may shed light on potential mistakes and failures within the system. Understandi...
Read moreUnderstanding the Yandex Chatbot Incident: A Case Study in Responsible AI
Explore the latest incident involving the Yandex chatbot, a valuable learning opportunity for safeguarding trustworthy AI. This AI incident...
Read moreGoogle Translate Mistakes: Female Historians and Male Nurses - A Case for Responsible AI
A recent incident involving Google Translate mistakenly labeling female historians as male has highlighted the need for trustworthy AI. This...
Read moreFaceApp Apologizes for Controversial Skin-Tone Altering Filter: A Case Study on the Importance of Responsible AI
The FaceApp incident highlights the need for safe and secure AI. The filter, criticized as racist for lightening users' skintones, underscor...
Read moreEdit wars on Wikipedia highlight the need for governance in AI-assisted content creation
This incident involving AI bots contributing to Wikipedia showcases the potential for AI to enhance productivity, but also highlights the ne...
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.