Understanding the Electric Elves Mishap: A Case Study in Responsible AI
This AI incident, known as Electric Elves, sheds light on the complexities of trustworthy AI and AI governance. Its lessons underscore the n...
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 & citationAssessing the Safety of Robotic Surgeries: 144 Deaths Reported Since 2000
This incident highlights the need for stringent governance in robotic surgeries, a critical aspect of AI-assisted medical procedures. A rece...
Read moreGoogle Faced with Order to Modify Autocomplete Function for Trustworthy AI Compliance in Japan - Mapping to the Govern Function of Project Cerebellum's TAIM
Recently, Google was instructed to modify its autocomplete function due to concerns over accuracy and potential harm in Japan. This incident...
Read moreFaulty Feature Causes Google's Nest Smart Smoke Alarm to Temporarily Cease Sales - A Case Study in AI Incident Governance
This AI incident highlights the importance of trustworthy AI in safety-critical systems. Google's Nest smart smoke alarm, a prime example of...
Read moreAddressing Alleged Bias in LinkedIn's Algorithm: A Case Study for Responsible AI
Exploring a reported gender bias issue on LinkedIn, we underscore the importance of safe and secure AI. This AI incident maps to the Govern...
Read moreRacially Biased AI Incident in New Zealand Passport Robot: A Call for Safe and Trustworthy AI
An unfortunate incident involving a racially biased AI passport robot in New Zealand has highlighted the need for responsible AI governance....
Read morePreventing Harm from AI Incidents: A Closer Look at the Consequences of Failed AI Algorithms
Understanding the potential fallouts of flawed AI algorithms is crucial for promoting safe and secure AI. This AI incident maps to the Gover...
Read moreUnderstanding the Impact of Major AI Governance Events: The DAO, The Hack, The Soft Fork, and The Hard Fork
Explore a pivotal moment in blockchain history - The DAO hack incident, and its subsequent soft fork and hard fork solutions. This AI incide...
Read moreThe Tay Incident: A Case Study on Responsible AI Harm Prevention
Delve into the infamous Taylor (Tay) bot incident, a stark reminder of the need for trustworthy AI. This AI incident maps to the Govern func...
Read moreSilicon Valley: Incident Involving Mall Security Robot Harming a Toddler - Promoting Safe and Responsible AI
A concerning incident involving a mall security robot knocking down and running over a toddler in Silicon Valley has raised important questi...
Read moreTesla Autopilot Incident: Joshua Brown's Tragic Demonstration of AI Boundaries
The unfortunate incident involving Joshua Brown, who lost his life in a self-driving Tesla car accident, underscores the importance of respo...
Read moreExamining Racial Bias in Google's Image Search Results: A Case Study on Trustworthy AI
This case study highlights an incident involving racial bias in Google's image search results for black teenagers. This AI incident maps to...
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.