Unveiling a Racial Bias Incident in AI: The Need for Trustworthy AI
Exploring an alarming case of racial bias in an AI system, this article underscores the importance of responsible and trustworthy AI. It sho...
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 & citationInvestigating the Malfunction of Electric Elves: Ensuring Safe and Secure AI
Exploring the recent malfunction of an autonomous robot system, known as 'Electric Elves'. This incident maps to the Govern function in HISP...
Read moreRobotic Surgery Incidents: 144 Deaths Over Two Decades - A Cautionary Tale in AI Governance
This study highlights the need for rigorous safety measures in robotic surgery, with 144 recorded deaths since 2000. As we strive for advanc...
Read moreGoogle to Revise Autocomplete Function in Japan for Responsible AI
In a recent development, Google has been ordered by the Japanese government to modify its autocomplete function due to concerns over harmful...
Read morePotential Issue in Google's Nest Smart Smoke Alarm: A Case Study on Safe and Secure AI
Google's Nest has temporarily halted sales of its smart smoke alarm due to a faulty feature. This incident maps to the Govern function in HI...
Read moreGender Bias Allegations: Addressing AI Fairness on LinkedIn
LinkedIn faces scrutiny for potential gender bias in its algorithms, a concern highlighting the need for trustworthy AI. This AI incident ma...
Read moreBiased AI Incident: New Zealand Passport Robot's Discriminatory Behavior
Recent incident involving a New Zealand passport robot demonstrates the need for safe and secure AI. The robot, during an applicant's interv...
Read moreUnderstanding the Consequences of AI Malfunctions in Companies: A Guide
Explore the potential impacts when AI algorithms fail in businesses, emphasizing the importance of responsible AI governance and harm preven...
Read moreUnderstanding Major Blockchain Incidents: The DAO, The Hack, The Soft Fork, and The Hard Fork - Mapping to the Govern Function in Project Cerebellum's Trusted AI Model
Explore the impactful events surrounding The DAO, a prominent blockchain incident. Learn about its hack, subsequent soft fork and hard fork...
Read moreThe Tay Incident: Understanding AI Governance and Harm Prevention
Explore the infamous Tay incident, a case study on the importance of responsible AI governance for safe and secure AI development. This AI i...
Read moreToddler Run Over by Mall Security Robot: An Examination of AI Safety and Governance
A tragic incident involving a toddler being knocked down and run over by a mall security robot highlights the urgency for safe and secure AI...
Read moreTesla Autopilot Incident: A Case Study on AI Limitations and Responsible AI Governance
Investigating the self-driving accident involving Joshua Brown, this article highlights the importance of safe and secure AI governance. It...
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.