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

Racially Biased AI: New Zealand Passport Robot Incident

This incident involving a racially biased AI passport robot in New Zealand highlights the urgent need for responsible AI governance. The bot...

Understanding Potential Consequences of AI Malfunctions in Businesses: A Responsible Approach

Exploring the impact of flawed algorithms in corporate settings, this article underscores the importance of trustworthy AI and AI governance...

Understanding the Impact of Pivotal Ethereum Blockchain Events: The DAO, The Hack, The Soft Fork, and The Hard Fork - A Look into Responsible AI Governance

Explore the historical events surrounding the Ethereum blockchain, including The DAO hack, soft fork, and hard fork. This AI incident maps t...

Exploring the Tay (bot) AI Incident: A Case Study in Responsible AI

Delve into the infamous Tay bot incident, a stark reminder of the need for trustworthy AI and AI governance. Understanding this AI mishap he...

Security Robot Incident Highlights Need for Safe and Secure AI - Project Cerebellum

A recent incident involving a mall security robot knocking down and running over a toddler in Silicon Valley underscores the importance of r...

Fatal Tesla Autopilot Incident: Highlighting the Importance of AI Governance

The tragic incident involving Joshua Brown, who lost his life in a self-driving car accident, underscores the need for robust AI governance...

Examining AI Bias: Racial Disparity in Google Image Search Results for Black Teenagers – A Case Study

This case study highlights the potential racial bias in Google's image search results, focusing on searches for black teenagers. This AI inc...

Exploring Machine Bias: The Need for Trustworthy AI

Dive into an analysis of machine bias, a critical aspect of AI governance that highlights the importance of safe and secure AI. This AI inci...

Minor Requests Song from AI, Receives Inappropriate Content: An Examination of Safe and Secure AI

This disturbing AI incident underscores the importance of trustworthy AI and responsible governance. When a child asked a digital assistant...

Misstep in Amazon AI: Unsuitable Cell Phone Case Design (Warning: Explicit Content)

An unanticipated error occurred in an Amazon AI model, leading to the production of inappropriate cell phone cases. This AI incident undersc...

Examining the Impact of AI-Driven Robodebt on Humans Services: A Case Study in Responsible AI Governance

This AI incident, involving robodebt, highlights the importance of human oversight and safe and secure AI applications in critical sectors l...

Exploring Responsible AI: The Yandex Chatbot Incident and Its Role in HISPI Project Cerebellum Trusted AI Model

Dive into the analysis of a notable AI incident involving the Yandex chatbot, emphasizing its significance to our understanding of trustwort...

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.