Government's Poor Performance in Algorithmic Accountability: A Call to Action
The use of algorithms by the Government has raised concerns regarding accountability and transparency. This AI incident highlights the need...
Read moreValues Statement: We believe AI should cause no harm, but enhance the quality of human life, by proactively adopting our AI Governance framework.
Evidence-based Transparent For governance
AI Incidents
Data source & citationBias in UK Passport Photo Checker Highlights Need for Responsible AI Governance
Recent findings reveal that the UK passport photo checker system shows bias against dark-skinned women, emphasizing the importance of trustw...
Read moreAnalyzing AI Bias in a Jewish Baby Stroller Algorithm: Preventing Harm through Responsible AI
Explore the implications of this AI incident, which reveals potential bias in an image recognition algorithm related to baby strollers. This...
Read moreYouTube's Radicalization Trap and the Role of Responsible AI in Preventing Harm - The Christchurch Shooter Incident
Explore how the Christchurch shooter incident highlights the need for safe and secure AI, especially in content moderation. This AI incident...
Read moreStanford's Initial COVID-19 Vaccine Allocation Prioritized Over Seven Medical Residents
This allocation incident highlights the need for transparency and fairness in AI governance, particularly in critical healthcare decisions....
Read moreApple Card Gender Bias Incident Highlights the Importance of Responsible Fintech AI
The recent gender bias complaints against Apple Card serve as a stark reminder of the need for trustworthy and safe AI in financial technolo...
Read moreFacebook Charged with Enabling Housing Discrimination: A Case for Responsible AI Governance
The Department of Housing and Urban Development (HUD) has accused Facebook of violating the Fair Housing Act by allowing housing discriminat...
Read moreDeliveroo's Controversial AI Algorithm Ruled Discriminatory: Understanding the Impact on Responsible AI
A recent court decision deemed Deliveroo's algorithm discriminatory, highlighting the importance of trustworthy and fair AI. This AI inciden...
Read moreFacial Analysis Paused in Job Screening Service: A Step Towards Responsible AI
A job screening service has suspended facial analysis for applicants, signaling a commitment to trustworthy AI and safe & secure AI practice...
Read moreLawsuit Over Teacher Evaluation System in Houston Schools Highlights Importance of Responsible AI Governance
This incident sheds light on the critical role of trustworthy AI in education. The Houston Schools' teacher evaluation lawsuit underscores t...
Read moreTesla Autopilot Misinterprets Stop Signs: An Example of AI Incident Harm Prevention
This AI incident involving Tesla's Autopilot system underscores the importance of safe and secure autonomous driving technology. The system...
Read moreYouTube Videos Tricking Children: A Case Study in AI Accountability
This incident highlights the need for responsible AI governance, emphasizing harm prevention through guardrails for AI. The disturbing video...
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.