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

The Incident with Taylor Swift's AI Chatbot, Tay (Bot): A Case Study in Responsible AI

Explore the infamous incident involving Tay, Microsoft's AI chatbot modeled after popular singer Taylor Swift. This AI mishap underscores th...

Silicon Valley: A Case Study on the Importance of AI Safety - Mall Security Robot Accident

An unfortunate incident involving a mall security robot knocking down and running over a toddler underscores the urgency for responsible AI...

Tesla Autopilot Incident Involving Joshua Brown Highlights Need for Safe and Secure AI Governance

This tragic incident involving Joshua Brown, who died in a self-driving car accident with Tesla's Autopilot system engaged, underscores the...

Examining Racial Bias in Google Image Search Results for Black Teenagers: A Case Study on the Importance of Responsible AI Governance

This AI incident involving Google's image search results highlights the need for safe and secure AI. The misrepresentation underscores the c...

Examining Machine Bias: A Key Component of Trustworthy AI

Delve into the consequences of machine bias, a critical aspect in building trustworthy AI. Understanding and addressing these issues is esse...

Digital Assistant Responds Inappropriately to Child's Request - Highlighting the Need for Safe AI

A recent incident involving a child's request for a song and an inappropriate response from a digital assistant underscores the importance o...

Amazon AI Error in Cell Phone Case Production: A Case Study for Safe and Secure AI

This AI incident involving Amazon's cell phone case production highlights the importance of responsible AI governance. The error, which led...

Impact of Automated Robodebt on Human Services and AI Governance

Exploring the aftermath of automating debt recovery processes through robodebt, highlighting its consequences for Human Services. This AI in...

Understanding the Yandex Chatbot Incident: A Case Study in AI Governance

Explore the recent incident involving the Yandex chatbot, a valuable lesson in the importance of safe and secure AI. This AI incident maps t...

Google Translate's Bias: Female Historians and Male Nurses - A Case for Responsible AI

Recent findings reveal Google Translate's misgendering of professions, labeling female historians as male and vice versa. This AI incident h...

FaceApp Apologizes for Controversial Skin Tone Filter: A Case Study in Responsible AI

Incident overview: The popular photo-editing app, FaceApp, faced a backlash over its 'racist' skin tone filter. This AI incident raises conc...

Edit Wars Disrupt AI-Assisted Wikipedia Editing: Highlighting the Importance of Responsible AI Governance

An AI incident unfolded in a Wikipedia editing project where bots were deployed to aid edits. However, these bots led to petty edit wars. Th...

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.