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

Fatal Self-Driving Uber Accident Highlights Importance of Responsible AI Governance

Incident involving a self-driving Uber vehicle in Arizona underscores the need for safe and secure AI systems. This AI incident maps to the...

Elite: Dangerous AI Superweapon Creation: An Unintended Consequence in AI Development

An AI incident occurred within the game Elite: Dangerous, where an unintended consequence led to the development of superweapons by the AI....

Deepfake AI Incident: A Case Study on Authenticity and Trustworthiness in AI-Generated Content

Explore the alarming incident of a deepfake video purported to be a speech from President Obama, created using artificial intelligence. This...

The Impact of AI on Justice Systems: Unjustified Detentions

Exploring an incident where AI misuse led to wrongful imprisonment, this article sheds light on the importance of trustworthy AI in justice...

AI Incident: MIT Scientists' Experiment with Potentially Harmful AI Content on Reddit

An incident involving MIT researchers who trained an AI model using violent content from Reddit has raised concerns about the responsible us...

Exploring AI in the Labor Market: The National Residency Matching Program

Discover how the National Residency Matching Program utilizes AI within a labor market context, contributing to AI governance for trustworth...

Addressing Racial Bias in AI Systems: A Look at an Incident

Exploring a real-world example of an AI system exhibiting racial bias, this article underscores the importance of trustworthy AI and respons...

Exploring the Failure of Electric Elves: Ensuring Safe and Secure AI Operations

Delve into the Electric Elves incident, a striking example of unintended consequences in AI systems. This AI incident maps to the Govern fun...

Robotic Surgery: Assessing Safety and Complications - A Review of Incidents Since 2000

This study underscores the need for robust AI governance in medical robotics, revealing 144 deaths and numerous complications over two decad...

Revising Google's Autocomplete Function: A Step Towards Responsible AI Governance

Google has been ordered to modify its autocomplete function in Japan, demonstrating the importance of safe and secure AI. This incident maps...

Temporary Cessation of Google's Nest Smart Smoke Alarm Sales Due to Performance Issue: A Case for Safe and Secure AI

This AI incident involving Google's Nest smart smoke alarm highlights the need for responsible AI governance. The halt in sales is due to a...

Examining LinkedIn's Alleged Gender Bias: A Case for Responsible AI

This incident sheds light on the potential gender bias within AI systems, specifically LinkedIn's platform. It underscores the importance of...

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.