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

Exploring Incident #128: A Deep Dive into Responsible AI Governance

Delve into the details of Incident #128, a valuable learning opportunity for safe and secure AI. This AI incident maps to the Govern functio...

Exploring Incident #127: A Case Study in AI Governance

Delve into the details of Incident #127, a telling example highlighting the importance of safe and secure AI operations. This AI incident ma...

Exploring Incident 126: An Important Case Study in Responsible AI

Delve into Incident #126, a valuable learning opportunity that underscores the need for trustworthy AI. This incident maps to the Govern fun...

Misinterpretation of Traffic Signals by Tesla's Autopilot: An AI Incident Demonstrating the Need for Safe and Secure AI

This AI incident involving Tesla's Autopilot, where red letters on flags were mistakenly identified as green traffic lights, underscores the...

Goldman Sachs Faces Allegations of Gender Bias in Apple Card Algorithm – A Case for Responsible AI

The Apple Card algorithm has raised concerns over potential gender bias, leading to allegations against Goldman Sachs. This AI incident unde...

Facebook Charged for Allegedly Facilitating Housing Discrimination: A Case Study in AI Governance

This housing discrimination case against Facebook highlights the importance of trustworthy AI and responsible AI governance. By allegedly en...

Deliveroo's Controversial AI Algorithm: A Case Study in Responsible AI Governance

In this article, we delve into the recent court ruling against Deliveroo for using an allegedly 'discriminatory' algorithm. This incident un...

Facial Analysis Cessation in Job Screening Service: A Step Towards Responsible AI

A job screening service has temporarily halted facial analysis of applicants, highlighting the importance of trustworthy AI and safe and sec...

Lawsuit Over Teacher Evaluation Challenges AI-Based System in Houston Schools - Emphasizing Responsible AI Governance

An ongoing lawsuit highlights the need for responsible AI governance in educational systems, as the case centers around a disputed teacher e...

French Welfare Services Robo-Debt Issues: A Case for Responsible AI Governance

This AI incident, involving the creation of 'robo-debt' by French welfare services, highlights the need for robust governance in AI systems....

Study Highlights Challenges in AI Voice Recognition for Black Voices: An Opportunity to Foster Trustworthy AI

A recent study reveals struggles in voice recognition for black voices by personal voice assistants. This underscores the importance of resp...

Thousands Accused of Fraud by Discriminatory AI Algorithm: A Case for Responsible AI Governance

Explore the consequences of a biased algorithm, learn how such incidents map to the Govern function in HISPI Project Cerebellum Trusted AI M...

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.