Flash Crash of 2010: Highlighting the Importance of Safe and Secure AI in Trading Algorithms
The arrest of a UK speed trader over his role in the 2010 'flash crash' underscores the need for trustworthy AI in high-frequency trading. T...
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 & citationDebunking the Myth: The Neural Net Tank Urban Legend and Responsible AI
Exploring the 'Neural Net Tank' urban legend serves as a reminder of the importance of trustworthy AI. This AI incident maps to the Govern f...
Read moreTesla Incident Highlights Importance of Safe and Secure AI Governance
This alarming incident involving Tesla vehicles points to the urgent need for responsible AI governance. Understanding AI incidents like thi...
Read moreDriverless Delhi Metro Train Crash: Highlighting the Importance of Safe and Secure AI Governance
Incident: A driverless Magenta line train in Delhi crashed through a wall today, underlining the critical role of trustworthy AI governance....
Read moreChina Woman Claims Colleague's Face Could Unlock iPhone X - A Case Study in AI Security
This intriguing case study highlights the importance of robust facial recognition systems in safeguarding personal data. The incident maps t...
Read moreUnauthorized Access Incident Involving Amazon Alexa Maps to Govern Function in HISPI Project Cerebellum Trusted AI Model
This incident highlights the importance of safeguarding AI systems from unauthorized access, ensuring trustworthiness and safe operation. A...
Read moreInvestigating Potential Guardrails in Amazon's Echo Activation Prevention
This AI incident sheds light on potential mechanisms employed by Amazon to prevent their Echo devices from activating during commercials. Su...
Read moreUnexplained Algorithmic Termination: An Important Lesson in Responsible AI
Recent incident of algorithmic termination highlights the importance of trustworthy AI. Understanding AI governance is crucial to ensure saf...
Read moreAI Failure: Chinese AI Misidentifies Passenger in Bus Advertisement - Highlighting the Need for Responsible AI Governance
An incident involving misidentification of a passenger by an AI system in a Chinese bus advertisement has sparked discussions on the need fo...
Read moreExploring Amazon's Algorithmic Bias Incident: A Case for Safe and Responsible AI
Incident involving an allegedly biased recruiting algorithm at Amazon highlights the importance of trustworthy AI, particularly in sensitive...
Read moreFatal Self-Driving Uber Accident Highlights Need for Responsible AI Governance
The recent collision between a self-driving Uber vehicle and a pedestrian in Arizona emphasizes the critical need for trustworthy, safe, and...
Read moreSuperweapon Creation by AI in Elite: Dangerous - A Case Study on AI Governance
This incident highlights the potential dangers of unchecked AI development, as demonstrated when an AI in Elite: Dangerous was inadvertently...
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.