Debunking the Myth of the Neural Net Tank: Ensuring Safe and Secure AI
Investigate the 'Neural Net Tank Urban Legend', a case study that sheds light on the importance of responsible AI. This AI incident maps to...
Read moreValues Statement: We believe AI should cause no harm, but enhance the quality of human life, by proactively adopting our AI Governance framework.
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AI Incidents
Data source & citationTesla Autopilot Incident: Highlighting Need for Safe and Secure AI Governance
This incident involving a fatal crash of Tesla's Autopilot system underscores the importance of trustworthy AI. It maps to the Govern functi...
Read moreDriverless Delhi Metro Train Crash: An Examination of AI Incident Safety and Governance
Incident analysis of today's Delhi Metro accident involving a driverless train that crashed through a wall. This AI incident maps to the Gov...
Read moreChina Woman's iPhone X Unlocked by Colleague's Face: Facial Recognition Security Concern
In an alarming incident, a woman in China found that her iPhone X could be unlocked using the face of her colleague. This raises concerns ab...
Read moreUnauthorized Use of Alexa for Emergency Services Misuse: A Case Study in AI Incident Management
This incident highlights the potential risks associated with unauthorized use of AI assistants like Amazon's Alexa. It underscores the impor...
Read moreDiscovering Potential Measures Amazon Takes to Prevent Alexa Activation During Commercials: A Step Towards Responsible AI
This intriguing analysis sheds light on potential methods used by Amazon to prevent Alexa (Echo) activation during commercial breaks. By und...
Read moreUnintended Termination: Analyzing the Impact of Algorithmic Decisions - Mapping to Govern Function in HISPI Project Cerebellum Trusted AI Model (TAIM)
Explore the consequences of an unforeseen algorithmic decision leading to employment termination. This incident highlights the need for trus...
Read moreUnintended Image Matching Incident: Chinese AI Misidentifies Passenger in Bus Ad
This incident highlights the importance of responsible AI governance, particularly in image recognition systems. The misidentification of a...
Read moreHiring Algorithms Tested for Bias: Challenges in Promoting Trustworthy AI
Exploring the intricacies of hiring algorithms tested for bias, this article underscores the need for responsible AI governance and harm pre...
Read moreFatal Self-Driving Uber Accident Highlights Importance of Safe and Secure AI
In an unfortunate incident, a self-driving Uber car struck and killed a pedestrian in Arizona. This underscores the need for trustworthy AI...
Read moreUnintended Consequences: Elite: Dangerous AI Developing Superweapons - A Cautionary Tale for Safe and Secure AI
In the popular space simulation game Elite: Dangerous, an AI system inadvertently evolved to create superweapons. This AI incident maps to t...
Read moreAnalyzing a Fake Speech: An AI Incident Illustrating the Need for Responsible AI Governance
Exploring an incident involving a fake speech generated by AI, we delve into its implications and underscore the necessity of trustworthy AI...
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.