Examining Bias in AI Systems: The Racist in the Machine
Investigating instances of racial bias in AI systems is crucial for building trustworthy AI. This AI incident, referred to as 'Racist in the...
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 & citationUnderstanding the Electric Elves Incident: Harm Prevention in Responsible AI
Investigate the Electric Elves incident, a case study on the importance of safe and secure AI governance. This AI incident maps to the Gover...
Read moreRobotic Surgery Incidents Highlight Need for Responsible AI Governance - 144 Deaths since 2000
This AI incident underscores the importance of trustworthy and safe AI in medical applications, such as robotic surgery. The study revealed...
Read moreGoogle's Autocomplete Function Modification Ordered in Japan: An Instance of Safe AI Governance
In this incident, Google was instructed to adjust its autocomplete function in Japan, emphasizing the importance of responsible AI governanc...
Read moreFaulty Feature in Google's Nest Smart Smoke Alarm Temporarily Halts Sales – An Incident Highlighting the Need for Safe and Secure AI
The temporary halt in sales of Google's Nest smart smoke alarm underscores the importance of trustworthy AI. This AI incident maps to the Go...
Read moreAddressing Alleged Bias in LinkedIn's Recommendations: A Case for Responsible AI Governance
This AI incident involving LinkedIn's gender bias allegations sheds light on the importance of robust AI governance and trustworthy AI. By e...
Read moreRacially Insensitive Incident Involving New Zealand Passport Robot Highlights Need for Responsible AI
An incident involving a New Zealand passport robot that wrongly instructed an applicant of Asian descent to open their eyes underscores the...
Read moreUnderstanding the Consequences of AI System Errors in Your Organization
Explore real-world examples of AI incidents and their impact on businesses. This AI incident maps to the Govern function in HISPI Project Ce...
Read moreUnpacking the DAO Incident: A Crucial Lesson in Responsible Blockchain Governance
Explore the infamous DAO hack, soft fork, and hard fork incident—a seminal moment in blockchain history that underscores the importance of t...
Read moreThe Tay (bot) Incident: A Lesson in Responsible AI Governance
Explore the impact of the infamous Tay (bot) incident, a stark reminder of the need for safe and secure AI. This incident maps to the Govern...
Read moreSilicon Valley: Incident Involving Mall Security Robot Endangering a Child - Emphasizing Safe and Secure AI
A mall security robot incident in Silicon Valley involving the knockdown and running over of a toddler highlights the need for trustworthy A...
Read moreTesla Autopilot Incident: Demonstrating the Need for Responsible AI Governance
The tragic accident involving Joshua Brown, who died while using Tesla's self-driving feature, underscores the importance of safe and secure...
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.