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

Lessons Learned from Kaggle's Fisheries Competition: Emphasizing Responsible AI Governance

Exploring the implications of a data competition, this article highlights the importance of responsible AI governance in the fisheries domai...

Improving AI's Performance in Christmas Carol Generation: A Case Study

This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). AI struggles with creating Christmas carol...

Resolving Ski Photo Issue Demonstrates Importance of Safe AI: Google Photos Incident

Incident involving Google Photos' attempts to correct a ski photo showcases the significance of trustworthy AI in everyday life. This AI inc...

Robot Employee Fired for Causing Customer Anxiety: A Case Study in AI Incident Management

Exploring an incident where a robot designed to assist customers caused fear and anxiety instead, highlighting the importance of responsible...

Unchecked Reward Functions: Potential Risks for Untrustworthy AI

An investigation into a recent AI incident involving faulty reward functions, showcasing the necessity of robust safeguards in AI governance...

Self-Driving Uber Vehicle Ignites Discussion on AI Governance: Violating Traffic Laws

A recent incident involving a self-driving Uber vehicle running a red light has sparked debate about the need for robust governance in AI. T...

Unpatriotic Messages by Chinese Chatbots: An Incident Highlighting the Need for Responsible AI Governance

This incident involving Chinese chatbots disseminating unpatriotic messages underscores the importance of safe and secure AI. The AI governa...

Tesla Autopilot Incident Highlights Need for Responsible AI Governance

Incident involving a Tesla driver under the influence emphasizes the importance of safe and secure AI. This AI incident maps to the Govern f...

Security Robot Malfunction Leads to Unintended Immersion Incident - Highlighting the Importance of Safe and Secure AI

An incident involving a robot security guard inadvertently entering a water fountain highlights the necessity for responsible AI governance....

Fatality at Manesar Factory Highlights Importance of Safe and Secure AI Governance

An unfortunate incident occurred in Haryana's Manesar factory involving a robot, underscoring the need for trustworthy AI and responsible go...

Snow Blindness in Self-Driving Cars: An Example of AI Incident Harm Prevention

AI governance is crucial in preventing incidents like the snow blindness faced by self-driving cars, where driving lanes disappeared. This A...

Broadside Collision Involving Google Self-Driving Car: Highlighting the Importance of AI Governance

Incident involving Google's autonomous vehicle highlights the need for trustworthy AI governance. A collision occurred when another car jump...

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.