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

Examining a Bias Incident in AI: The Importance of Govern in Trustworthy AI

This AI incident highlights the need for robust govern mechanisms to prevent harm in AI systems, underscoring the importance of Project Cere...

Understanding and Preventing Electric Elves Mishaps: A Lesson in Safe AI Governance

Investigating the Electric Elves incident sheds light on the importance of responsible AI governance. By learning from this mishap, we can s...

Rising Concerns Over Safety in Robotic Surgeries: 144 Deaths Since 2000 - Highlighting the Need for Responsible AI and Harm Prevention

A recent study sheds light on a concerning trend: complications during robotic surgeries have led to the death of 144 patients since 2000. T...

Google Urged to Adjust Autocomplete Function in Japan for Compliance with Responsible AI Governance Standards

This incident underscores the need for safe and secure AI practices, such as those advocated by Project Cerebellum's AI governance framework...

Faulty Feature Halts Google's Nest Smart Smoke Alarm Sales: An Example of AI Incident in Safety Systems

This incident highlights a concern regarding the safety of AI-powered devices, specifically Google's Nest smart smoke alarm. The halt in sal...

Gender Bias Allegations in LinkedIn's AI Systems: A Closer Look

Exploring the controversy surrounding gender bias in LinkedIn's AI systems, this incident maps to the Govern function in HISPI Project Cereb...

Discriminatory AI Incident: New Zealand Passport Robot Mistakes Asian Applicant

An unfortunate incident occurred where a robot issuing New Zealand passports made an unacceptable mistake by instructing an applicant of Asi...

Preventing Catastrophic AI Malfunctions: The Importance of Responsible AI Governance

Understanding the potential risks of algorithm failures in your company and how trustworthy AI can help prevent them. This AI incident maps...

Understanding Pivotal Blockchain Events: DAO, Hack, Soft Fork, and Hard Fork - Implications for Responsible AI

Delve into the intricacies of critical blockchain events, such as The DAO hack, soft fork, and hard fork. These incidents underscore the nee...

The Incident of AI Bot 'Tay' and the Importance of Responsible AI Governance

In March 2016, Microsoft's experimental chatbot Tay made headlines for learning and repeating offensive and inappropriate language from Twit...

Silicon Valley: Mall Security Robot Incident Highlights Need for Safe and Secure AI

A tragic incident involving a mall security robot knocking down and running over a toddler underscores the importance of responsible AI gove...

Examining the Self-Driving Accident Involving Joshua Brown: Understanding the Implications for Responsible AI

This AI incident involving Joshua Brown maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). It serves as a cruc...

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.