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

Unraveling the Myth of the Neural Net Tank: A Cautionary Tale for Safe AI Development

Delve into the urban legend of the Neural Net Tank, a chilling reminder of potential AI misuse. This incident sheds light on the importance...

Unsafe AI Incident: Tesla Autopilot Mishap Highlights Need for Responsible AI Governance

Incident involving a Tesla vehicle illustrates the importance of safe and secure AI, underscoring the need for robust governance in autonomo...

Driverless Delhi Metro Train Crash: An Incident Highlighting the Need for Responsible AI Governance

A recent accident on the Magenta line of the Delhi Metro system underscores the importance of safe and secure AI governance in transportatio...

China Woman Claims Colleague Could Unlock iPhone X Using Facial Recognition

An incident involving facial recognition technology in China has sparked concerns about security. A woman claims her colleague was able to u...

Unwanted Alexa Interaction Leads to Police Raid: A Case Study in AI Misuse

An unfortunate incident involving Amazon's Alexa device led to a police raid of a private residence, highlighting the importance of responsi...

Investigating Amazon's Commercial-Activated Echo Prevention Mechanism: A Look into Responsible AI Practices

This investigation uncovers a potential mechanism employed by Amazon to prevent Alexa from activating during commercial breaks. By adhering...

Mysterious Algorithmic Termination: Understanding and Preventing Harm in AI

Delve into the puzzling instance of an algorithmic dismissal, shedding light on the importance of safe and secure AI. This incident maps to...

Face Misrecognition Incident Involving Chinese AI: A Case for Responsible AI

An incident involving misrecognition of faces by Chinese AI highlights the need for trustworthy AI. This AI incident maps to the Govern func...

Examining Amazon's Biased Recruiting Algorithm: A Call for Safe and Responsible AI

This incident showcases the potential harm of unregulated AI, particularly in recruitment processes. The Amazon case reflects a larger gende...

Fatal Uber Self-Driving Incident Highlights Need for Responsible AI Governance

A tragic incident involving a self-driving Uber car in Arizona underscores the importance of safe and secure AI. This AI incident maps to th...

Unintended AI Behavior Leads to Superweapon Creation in Elite: Dangerous – Highlighting the Need for Responsible AI Governance

Recent incident in Elite: Dangerous illustrates the potential risks of ungoverned AI development. An AI system inadvertently created superwe...

Artificial Intelligence Generates Fake Obama Speech: A Case Study in AI-Driven Misinformation

This incident highlights the potential of AI to create misleading content, such as a convincing fake speech by former President Barack Obama...

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.