Revealing Limitations of AI: A Tougher Turing Test Uncovers Shortcomings in Chatbot Performance
This AI incident highlights the need for robust AI governance and trustworthy AI development. The test, a more challenging version of the cl...
Read moreValues 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
Data source & citationExploring Responsible AI: The Role of Waze in Managing Los Angeles Wildfires
This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Delving into the safety measures implement...
Read moreLessons from the Self-Driving Shuttle's First-Day Mishap: Advancing Responsible AI
Exploring the first-day accident of a self-driving shuttle, this incident sheds light on the importance of safe and secure AI. This AI incid...
Read moreFatal Incident at Volkswagen Plant: The Need for Safe and Secure AI
A tragic accident involving a robot at a German Volkswagen plant underscores the importance of trustworthy AI. This incident maps to the Gov...
Read moreExploring Responsible Autonomous Vehicles: Google's and Delphi's Incidents in California
An examination of recent AI-related incidents involving self-driving cars from Google and Delphi in California, emphasizing the importance o...
Read moreFace ID Breach Highlights Importance of Safe and Secure AI in Tech: Hackers Unlock iPhone X with Mask
This AI incident involving Face ID maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). The breach underscores t...
Read more1983 Nuclear Disaster Averted: The Heroic Role of Responsible AI - Stanislav Petrov
In 1983, a potential global nuclear disaster was narrowly averted by the actions of Stanislav Petrov, a Soviet military officer. His decisio...
Read moreThe 737 Max 8 AI Incident: An Example of Leaking Abstractions and Importance in AI Governance
Explore the tragic Boeing 737 Max 8 incident, a real-world example of leaking abstractions, a concept crucial for understanding the importan...
Read moreRole of AI in the 2010 'Flash Crash': A Case Study for Responsible AI Governance
Investigate the impact of AI on the 2010 'flash crash' incident, a crucial example highlighting the need for trustworthy and safe AI. This A...
Read moreDebunking the Myth of the Neural Net Tank: A Case Study in Responsible AI
Explore the Neural Net Tank Urban Legend, a cautionary tale that highlights the importance of trustworthy AI. This incident maps to the Gove...
Read moreUnsafe AI Incident in Tesla's Autopilot System: Highlighting the Need for Responsible AI Governance
This AI incident involving Tesla's Autopilot system underscores the importance of safe and secure AI. It maps to the Govern function in HISP...
Read moreDriverless Delhi Metro Train Crash: Incident Highlights Need for Safe AI Governance
A recent accident involving a driverless Magenta line train in Delhi highlights the importance of responsible AI governance. The incident, w...
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.