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 an Unfortunate AI Bias Incident - Promoting Responsible AI and Harm Prevention

This AI incident, unfortunately, showcases a bias in the system, highlighting the need for trustworthy and safe AI. It maps to the Govern fu...

Understanding and Preventing Mishaps in AI Systems: The Case of Electric Elves

Investigating the Electric Elves incident sheds light on the importance of responsible AI governance. This AI mishap maps to the Govern func...

Robotic Surgery Complications: A Cause for Concern - Understanding AI Governance in Healthcare

A recent study reveals 144 deaths associated with robotic surgery complications since 2000, emphasizing the need for responsible AI and safe...

Responsible AI: Google Ordered to Modify Autocomplete Function in Japan – Safe and Secure AI Matters

The Tokyo District Court has ordered Google to modify its autocomplete feature in Japan, raising awareness for the importance of trustworthy...

Faulty Feature Halts Sales of Google's Nest Smart Smoke Alarm: A Case for Responsible AI Governance

This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). The faulty feature in Google's Nest smart...

Investigating LinkedIn's Alleged Gender Bias: A Step Towards Trustworthy AI

An investigation into the alleged gender bias on LinkedIn raises questions about fairness in AI systems. This AI incident maps to the Govern...

AI Bias Incident in New Zealand Passport Robot: Open Eyes to Responsible AI Governance

A disturbing incident occurred at a New Zealand passport robot when an applicant of Asian descent was told to open their eyes wider. This AI...

Understanding and Preventing Harm from AI Incidents in Companies: The Role of Responsible AI

Explore the potential consequences of AI algorithm failures within organizations, learn about guardrails for safe and secure AI with Project...

Understanding the Impact of Major Blockchain Events: The DAO, The Hack, The Soft Fork, and The Hard Fork - A Case Study for Responsible AI

Explore a pivotal event in blockchain history: The DAO hack. This incident offers valuable insights into the importance of trustworthy AI, s...

The Infamous Tay Incident: A Case Study in Responsible AI

Explore the infamous incident involving Microsoft's chatbot, Tay, a prime example of the importance of responsible AI governance. This AI in...

Silicon Valley: Safety Concerns Raised as Mall Security Robot Incident Occurs - Advancing Responsible AI through Project Cerebellum

A recent incident involving a mall security robot knocking down and running over a toddler in Silicon Valley highlights the importance of sa...

Self-Driving Car Accident Highlights Importance of Safe and Secure AI - Joshua Brown Incident Maps to Govern Function in Project Cerebellum Trusted AI Model

Exploring the tragic accident involving Joshua Brown, who lost his life while using a self-driving Tesla. This incident underscores the need...

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.