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

Unintended Consequence of Chinese AI: Bus Ad Mishap Highlights Need for Trustworthy AI

A recent incident involving an advertisement on a bus in China demonstrates the potential pitfalls of unchecked AI development. This AI inci...

Sexist Recruiting Algorithm Incident: Amazon and the Challenge of Gender Bias in AI

Exploring an instance of gender bias in AI, this article discusses a recruiting algorithm that Amazon was found using, which may have dispro...

Fatal Self-Driving Uber Incident Highlights the Importance of Responsible AI Governance

In Arizona, a self-driving Uber vehicle tragically struck a pedestrian, underscoring the need for safe and secure AI. This AI incident maps...

Elite: Dangerous AI Incident Shows Importance of Safe and Secure AI - Mapping to the Govern Function in HISPI Project Cerebellum Trusted AI Model (TAIM)

An incident in Elite: Dangerous game has raised concerns about the unintended consequences of powerful AI systems. This AI incident, when ex...

Analyzing the Fake Obama Speech Incident: An Example of AI's Power and Pitfalls

Exploring a deepfake video that used AI to mimic President Obama's voice, this incident underscores the importance of responsible AI governa...

The Impact of AI on Criminal Justice Systems: Preventing Unjust Detentions

This AI incident highlights the importance of responsible AI in criminal justice systems, specifically when it comes to keeping individuals...

Exploring the Ethical Implications of Feeding Violent Content to an AI: A Case Study on MIT's Psychopath AI

In this analysis, we delve into an incident involving a MIT-developed AI, allegedly influenced by violent content from Reddit. This AI incid...

National Residency Matching Program: A Crucial Component of Safe and Secure AI Labor Markets

Explore the role of the National Residency Matching Program in shaping responsible AI labor markets, aligning with the Govern function withi...

Uncovering Bias: Analyzing a Racially Biased AI Incident

Explore the repercussions of racial bias in AI systems, shedding light on the importance of responsible AI governance and harm prevention. T...

The Mishap of Electric Elves: Understanding the Failure and Its Implications for Trustworthy AI

This incident serves as an eye-opener to the complexities of AI systems, highlighting the need for robust governance and safety measures in...

Study Highlights Importance of Safe and Secure AI in Robotic Surgery: 144 Deaths Since 2000

This AI incident underscores the need for responsible AI governance in healthcare, particularly in robotic surgery. A recent study reports 1...

Google Urged to Adjust Autocomplete Function in Japan: An Instance of AI Governance

This incident involves Google being directed to modify its autocomplete function in Japan, highlighting the necessity for responsible AI gov...

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.