Values Statement: We believe AI should cause no harm, but enhance the quality of human life, by proactively adopting our AI Governance framework.

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AI Incidents

TAIM catalog Map Data source & citation

Racial Bias in Google Ad Delivery Exposed by Recent Study

A new study reveals racial profiling in the delivery of online ads by Google, shedding light on the need for responsible AI governance and h...

Potential Bias in Ad Delivery: The Case of Google's Arrest Warrant Ads

An investigation revealed that searching for African American names on Google could return ads for arrest warrants, raising concerns about f...

Incident: Tesla's Autopilot Activated in Fatal California Crash

An investigation into the fatal crash of a Tesla vehicle on a California highway revealed that the car's self-driving Autopilot system was e...

Autopilot Incident Investigation: Tesla Responds Amid Safety Concerns

The National Highway Traffic Safety Administration (NHTSA) has launched an investigation into a fatal crash involving Autopilot, Tesla's sem...

Examining Tesla's Response to Autopilot-Related Fatality: Responsible AI Governance

The death of a driver using Tesla's Autopilot system has sparked concerns over the company's approach to AI safety. This incident underscore...

Autonomous Vehicles: Assessing Risks and Responsibilities Post-Incident

Recent fatalities involving Tesla's Autopilot and Uber's self-driving vehicle underscore the complexities and challenges of autonomous drivi...

Assessing Responsible AI: A Reexamination of the Tesla Autopilot Incident

The recent fatal accident involving a Tesla vehicle operating on Autopilot has reignited discussions about the safety and reliability of aut...

Tesla Confirms Vehicle in Crash Was Operating on Autopilot

In an official statement, Tesla has admitted that the vehicle involved in a recent crash was running on its autopilot function before the ac...

NTSB Reveals Findings on the March Tesla Autopilot Incident

The National Transportation Safety Board (NTSB) recently released its findings on the March 2021 incident involving a Tesla vehicle using Au...

Recurring Autopilot Concerns Precede Tesla's Deadly Self-Driving Incident

A tragic accident involving a self-driving Tesla vehicle highlights the significance of addressing AI incident reports promptly. The driver,...

Investigation Underway: Tesla's Autopilot Mode Implicated in Utah Accident

An incident has been reported where a driver operating a Tesla Model S on Autopilot was involved in an accident. The driver confirmed this t...

Tesla's Autopilot: Assessing Responsibility in AI Incident

A recent collision involving a Tesla vehicle operating on Autopilot has raised questions about the role of AI governance in ensuring safe an...

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.