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

Government Grading on Algorithms: A Failure in Responsible AI Governance

This incident highlights the importance of safe, secure, and trustworthy algorithms within government decision-making processes. This AI inc...

Examining AI Bias: The Case of UK Passport Photo Checker - Preventing Harm through Responsible AI

This case study demonstrates potential bias in an AI system, focusing on the UK passport photo checker that disproportionately rejected phot...

AI Incident: Misclassification of Jewish Baby Stroller Image

This AI incident highlights the importance of safe and secure AI, particularly in sensitive contexts such as images related to religion or c...

YouTube's Radicalization Trap: The Role of the Christchurch Shooter Incident in AI Governance

Explore how the Christchurch shooter incident underscores the need for responsible AI and robust AI governance. Understand the impact on pla...

Stanford Prioritizes Vaccine Distribution to Medical Residents: A Case Study on Ethical AI Allocation

Exploring the ethical considerations of vaccine distribution, this case study highlights Stanford University's prioritization of vaccines fo...

Apple Card: Unveiling the Hidden Bias in Fintech - A Cautionary Tale for Responsible AI

Gender bias complaints against Apple Card reveal a concerning aspect of fintech, underscoring the need for trustworthy and safe AI. This AI...

Facebook Charged for Enabling Housing Discrimination: A Case Study on the Importance of Responsible AI

The U.S. Department of Housing and Urban Development (HUD) has accused Facebook of enabling housing discrimination by allowing real estate a...

Deliveroo's 'Discriminatory' AI Algorithm: A Review of Trustworthy AI Governance

A recent court ruling highlights the importance of responsible AI governance, as Deliveroo's use of an algorithm that appeared discriminator...

Pause in Facial Analysis by Job Screening Service Highlights Need for Responsible AI Governance

A job screening service has temporarily halted the use of facial analysis technology for applicant review, raising questions about the role...

Lawsuit Over AI-Based Teacher Evaluation System in Houston Schools

Explore the lawsuit challenging an AI system used for teacher evaluations in Houston schools, highlighting the importance of responsible AI...

Autopilot Malfunction: Tesla Vehicle Confuses Stop Signs with Green Lights

In this concerning AI incident, a Tesla vehicle operating on Autopilot mistook red traffic lights for green ones, demonstrating the importan...

YouTube Videos Deceiving Children: A Concern for Responsible AI and Harm Prevention

Exploring concerning YouTube videos that manipulate children, highlighting the need for safe and secure AI, governance, and guardrails. This...

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.