Evaluating AI: A Turing Test Reveals Limitations of Current Chatbot Capabilities
The latest Turing Test has highlighted the current shortcomings of chatbots, underscoring the need for continuous improvement in AI developm...
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 & citationLA Wildfires: Examining Waze's Response to California Fires - A Responsible AI Approach
Investigating Waze's handling of the LA wildfires during the California fires crisis, we highlight responsible AI in action. This AI inciden...
Read moreAnalyzing the Lessons from the First-Day Accident Involving a Self-Driving Shuttle: A Responsible AI Perspective
Understanding the implications of this incident for safe and secure AI, we explore how it maps to the Govern function in HISPI Project Cereb...
Read moreUnforeseen Incident: Robot Injures Worker at a German Volkswagen Plant - A Case Study on Safe and Secure AI
In this unprecedented event, a robot at a Volkswagen plant in Germany caused harm to a human worker. This incident maps to the Govern functi...
Read moreExamining AI Incident: Autonomous Vehicles Operated by Google and Delphi Get Cited in California
This AI incident, involving self-driving cars from tech giants Google and Delphi, highlights the need for safe and secure autonomous vehicle...
Read moreApple's Face ID bypassed: Unmasking the Importance of Safe and Secure AI
In an incident that underscores the need for robust governance in AI, hackers successfully bypassed Apple's Face ID on an iPhone X using a s...
Read moreAvertiing Nuclear Disaster: The Heroic Act of Stanislav Petrov in 1983 - A Case Study for Safe and Secure AI
In this gripping incident, Soviet military officer Stanislav Petrov displayed extraordinary vigilance and quick thinking to prevent a global...
Read moreExploring AI Safety: The Case of Leaking Abstractions in Boeing's 737 Max 8 - A Harm Prevention Perspective
Delve into the intricate interplay between AI safety, leaking abstractions, and their impact on real-world applications like Boeing’s 737 Ma...
Read moreFlash Crash of 2010: A Case Study on the Need for Safe and Secure AI Governance
The Flash Crash of 2010, a dramatic drop in global stock markets, highlighted the potential dangers of unchecked AI. This incident maps to t...
Read moreExploring the Myth of the Neural Net Tank in AI: A Crucial Step Towards Responsible AI Governance
Dive into the intriguing urban legend of the Neural Net Tank, a critical analysis that sheds light on the importance of AI governance. This...
Read moreTesla's AI Incident: A Case Study on Safe and Secure Autonomous Driving
This AI incident involving Tesla's autonomous driving system underscores the importance of trustworthy AI in our daily lives. It maps to the...
Read moreDriverless Delhi Metro Train Crash: An Unfortunate Incident Highlighting the Need for Responsible AI Governance
The recent unfortunate incident involving a driverless train in Delhi Metro underscores the importance of safe and secure AI. This AI incide...
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.