Values 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

Unraveling Electric Elves: An Examination of a Responsible AI Incident and Its Lessons

Explore the intricacies of an incident involving 'Electric Elves', delving into the aspects of trustworthy AI, safe and secure AI practices,...

Robotic Surgery Incidents Highlight Need for Responsible AI Governance: 144 Deaths Since 2000

This AI incident underscores the importance of safe and secure AI in healthcare, particularly in robotic surgery. According to a study, ther...

Google Faces Order for Autocomplete Function Modification in Japan: A Case Study on AI Governance

This incident marks Google's response to a court order in Japan, emphasizing the need for responsible autocomplete function design. It maps...

Faulty Google Nest Smart Smoke Alarm Pauses Sales: Emphasizing Importance of Safe and Secure AI

Google's Nest has temporarily halted sales of its smart smoke alarm due to a faulty feature, highlighting the critical role of trustworthy A...

Examining LinkedIn's Alleged Gender Bias: A Responsible AI Concern

This incident raises questions about AI fairness and bias within LinkedIn's systems. It maps to the Govern function in HISPI Project Cerebel...

Racially Biased AI Incident in New Zealand Passport System: A Call for Responsible AI Governance

An incident involving a racially biased AI in the New Zealand passport application system was reported, asking an applicant of Asian descent...

Understanding the Consequences of AI Errors in Business Operations: A Guide for Responsible AI Governance

Explore real-world examples of AI incidents, their impacts, and lessons learned. This article maps to the 'Govern' function in HISPI Project...

Exploring the Impact of The DAO Incident on Responsible Blockchain Governance

Dive into the aftermath of The DAO hack, its impact on blockchain governance, and the subsequent soft and hard forks. This AI incident maps...

Analyzing the Tay (bot) Incident: A Case Study in Responsible AI

Exploring the Taylor Swift-inspired Microsoft chatbot failure and its implications for trustworthy AI, this incident maps to the Govern func...

Silicon Valley: A Case Study on the Importance of Responsible AI - Security Robot Incident

A toddler was knocked down and run over by a mall security robot in Silicon Valley, highlighting the need for safe and secure AI. This AI in...

Self-Driving Car Accident Highlights Importance of Responsible AI: The Case of Joshua Brown

Explore the tragic incident involving Joshua Brown, a self-driving car advocate who lost his life in an accident while testing a Tesla. This...

Racial Bias Allegation in Google Image Search Results for Black Teenagers: An Examination of AI Governance

A recent incident involving racial bias in image search results for black teenagers on Google raises concerns about responsible AI governanc...

Data 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.