Values 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

Critical Evaluation: Government's Performance in AI Algorithm Implementation

This analysis highlights concerns about the government's AI algorithm deployment, emphasizing the importance of responsible AI governance. T...

AI Bias Alert: UK Passport Photo Checker Shows Discrimination Against Dark-Skinned Women - A Case Study for AI Governance

Explore an AI incident that highlights the importance of fairness and transparency in AI systems. This AI incident maps to the Govern functi...

AI Incident: Jewish Baby Stroller Misclassification - A Call for Responsible AI

Incident involving a misclassified image of a Jewish baby stroller highlights the need for safe and secure AI. This AI incident maps to the...

YouTube's Role in Radicalization: The Christchurch Shooter Incident - A Cautionary Tale for Responsible AI Governance

This AI incident underscores the need for safe and secure AI governance, as it highlights potential radicalization on social media platforms...

Stanford's Initial Vaccine Distribution and the Importance of AI Governance

An examination of Stanford University's initial vaccine distribution priorities, focusing on medical residents. This case study highlights t...

Apple Card Gender Bias Incident Highlights the Importance of Responsible AI in Fintech

This incident involving gender bias complaints against Apple Card highlights the need for safe and secure AI in financial technology. It map...

Facebook Charged with Enabling Housing Discrimination: A Case for Responsible AI Governance

The U.S. Department of Housing and Urban Development (HUD) has charged Facebook with enabling housing discrimination, raising concerns about...

Deliveroo's Controversial AI Algorithm Found Discriminatory - Promoting Responsible AI Governance

In a landmark ruling, a court found that Deliveroo's algorithm exhibited discriminatory behavior towards certain restaurants. This incident...

Halting Facial Analysis in Job Screening Services: Ensuring Responsible AI Governance

This incident highlights the need for safe and secure AI practices, particularly in job screening services. By halting facial analysis of ap...

Lawsuit Over Teacher Evaluation Challenges AI Governance in Houston Schools

This lawsuit raises questions about the role of responsible AI in education, particularly in teacher evaluations. The incident maps to the G...

Autopilot Incident: Tesla Vehicle Fails to Recognize Red Traffic Lights

This AI incident highlights a critical safety concern in autonomous driving, as the Tesla Autopilot system failed to identify red traffic li...

Children at risk due to deceptive YouTube AI-generated content - Understanding and preventing harm via Project Cerebellum

This AI incident highlights the need for responsible AI governance in video platforms like YouTube. By analyzing the videos, we can see how...

Data 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.