Exposing Limits of AI: A Case Study on the Challenges of the Updated Turing Test
The latest iteration of the Turing Test has shed light on the limitations of modern chatbots, demonstrating a need for continuous improvemen...
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 and AI: Analyzing Waze's Response – A Look at Responsible AI in Action
Exploring the role of Waze during the LA wildfires, this incident sheds light on how AI can respond to emergencies. Understanding its impact...
Read moreFirst-Day Accident of Self-Driving Shuttle: A Cautionary Tale for Responsible AI
This incident underscores the importance of safe and secure AI in autonomous vehicles. The accident on the first day of operation highlights...
Read moreAI Incident: Tragic Incident at Volkswagen Plant Highlights Need for Responsible AI - Mapping to Govern Function in HISPI Project Cerebellum Trusted AI Model
A tragic incident involving a robot killing a worker at a Volkswagen plant in Germany has raised concerns about the safety of AI systems. As...
Read moreCalifornia Autonomous Vehicles Incidents: An Examination of Google and Delphi's Self-Driving Cars
Exploring recent autonomous vehicle incidents involving Google and Delphi's self-driving cars in California raises awareness for the importa...
Read moreApple's Face ID Bypassed: A Case for Safe and Secure AI
A recent incident demonstrates the importance of trustworthy AI. Hackers bypassed Apple's Face ID, underscoring the need for robust safeguar...
Read moreStanislav Petrov's Pivotal Role in Averting Global Nuclear Disaster in 1983 - An Example of AI Governance
In this gripping account, we highlight the decisive actions taken by Stanislav Petrov to prevent a global nuclear catastrophe in 1983. This...
Read moreBoeing's 737 Max 8 Incident: An Example of AI Safety Challenges (Leaking Abstractions)
Investigate the Boeing 737 Max 8 tragedy, a case study on AI safety issues, specifically Leaking Abstractions. This incident maps to the Gov...
Read moreRole of AI in 2010 Flash Crash: Understanding Its Impact on Responsible AI Governance
Investigate the impact of an AI system on the 2010 flash crash, a significant financial incident highlighting the need for safe and secure A...
Read moreExploring the Myth of the Neural Net Tank: A Cautionary Tale on AI Governance
Dive into the story of the Neural Net Tank Urban Legend, a fascinating example of AI misuse. This incident highlights the importance of resp...
Read moreTesla Incident Highlights Importance of Safe and Secure AI
An incident involving a Tesla vehicle has raised concerns about the reliability of autonomous driving systems. This AI incident maps to the...
Read moreDriverless Delhi Metro Train Accident Highlights Need for Responsible AI Governance - Incident Maps to HISPI Project Cerebellum Trusted AI Model
A recent accident involving a driverless Magenta line train in Delhi underscores the importance of trustworthy and safe AI. This incident ma...
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.