Exposing the Limitations of AI: A New Challenge for Chatbot Intelligence
The latest Turing Test revealed shortcomings in popular chatbots, highlighting the need for responsible AI governance. This AI incident maps...
Read moreEvidence-based Transparent For governance
The latest Turing Test revealed shortcomings in popular chatbots, highlighting the need for responsible AI governance. This AI incident maps...
Read moreInvestigating Waze's approach to navigating Los Angeles wildfires, we delve into the role of responsible AI governance in ensuring safe and...
Read moreThis AI incident highlights the importance of trustworthy autonomous vehicles. Understanding its root causes can contribute to harm preventi...
Read moreAn unfortunate incident occurred at a Volkswagen plant in Germany, where an AI-controlled robot caused injury to a worker. This tragic event...
Read moreThis AI incident involving Google's self-driving cars highlights the importance of trustworthy AI governance. It maps to the 'Govern' functi...
Read moreRecent incident involving a hack on Apple's Face ID system highlights the importance of robust AI security measures. This AI incident maps t...
Read moreDiscover how the human operator Stanislav Petrov showcased safe and secure AI by averting a global nuclear disaster in 1983. This incident m...
Read moreThis AI incident involving the Boeing 737 Max 8 is a tragic reminder of the critical role trustworthy AI plays in safety-critical systems. T...
Read moreThis AI incident, involving a UK speed trader, highlighted the potential risks associated with AI in financial markets. It underscores the n...
Read moreDelve into the debunked Neural Net Tank Urban Legend, a stark reminder of the need for safe and secure AI. This incident maps to the Govern...
Read moreDive into an analysis of a recent incident involving Tesla's Autopilot system. This AI incident maps to the Govern function in HISPI Project...
Read moreA recent incident involving a driverless train on the Magenta Line in Delhi underscores the importance of robust AI governance. This AI inci...
Read moreData 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.