Lessons from the First-Day Mishap of a Self-Driving Shuttle: Prioritizing Responsible AI
Exploring the first-day accident of a self-driving shuttle, this incident underscores the importance of trustworthy AI and safe and secure a...
Read moreEvidence-based Transparent For governance
Exploring the first-day accident of a self-driving shuttle, this incident underscores the importance of trustworthy AI and safe and secure a...
Read moreAn unfortunate incident occurred at a German Volkswagen factory, where an AI-controlled robot accidentally killed a human worker. This AI in...
Read moreRecent autonomous vehicle incidents involving Google's Waymo and Delphi self-driving cars in California highlight the need for trustworthy A...
Read moreThis incident involving hackers bypassing the Face ID security system on an iPhone X underscores the need for trustworthy AI. Understanding...
Read moreThe 1983 nuclear weapons disaster averted by Stanislav Petrov serves as a stark reminder of the importance of responsible AI governance. Thi...
Read moreInvestigate the Boeing 737 Max 8 incident, which highlights the challenges of ensuring AI safety through understanding and addressing 'leaki...
Read moreThis AI incident, involving a UK speed trader, maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). The event un...
Read moreThis AI incident, known as the Neural Net Tank urban legend, highlights the importance of responsible AI governance. It maps to the Govern f...
Read moreAn unfortunate accident involving a Tesla vehicle highlights the need for safe and secure AI governance. This AI incident maps to the Govern...
Read moreA recent incident involving a driverless Magenta line train in Delhi Metro highlighted the need for safe and secure AI systems. This AI inci...
Read moreIncident involving facial recognition mistaking a colleague for the phone owner highlights the importance of trustworthy AI governance. This...
Read moreThis incident highlights the potential risks associated with AI misuse. An individual manipulated an Amazon Alexa smart speaker, leading to...
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.