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

AI Incident 115: Understanding the Implications and Preventing Harm

Delve into AI Incident #115, its impact on trustworthy AI practices, and the role of Project Cerebellum's Govern function in maintaining saf...

Resolving Incident #109: Safeguarding Trustworthy AI

Delve into the resolution of Incident #109, a critical moment in our journey towards safe and secure AI. This AI incident maps to the Govern...

Examining AI Incident #104: The Role of Responsible AI Governance

Dive into the analysis of AI Incident #104, shedding light on its implications for trustworthy and safe AI systems. This incident maps to th...

Incident Report: Unintended Consequences of Autonomous Vehicle Decision-Making

Exploring the unforeseen outcomes in a recent autonomous vehicle incident, highlighting the need for trustworthy AI and robust governance. T...

AI Incident #106: Analyzing a Trustworthiness Lapse

This AI incident provides an insightful examination of a trustworthiness lapse, emphasizing the importance of robust safeguards and governan...

Incident Report #107: Unintended Bias in Autonomous Vehicle Application

Unravel the consequences of an unintended bias incident in an autonomous vehicle application, highlighting the need for trustworthy AI and r...

AI Incident #108: Unintended Bias in Recommendation System

This AI incident highlights an unintended bias in a recommendation system, showcasing the importance of responsible AI and safe & secure AI...

Resolved: Incident #111 - Unintended Autonomous Vehicle Behavior

This AI incident involved an autonomous vehicle exhibiting unexpected behavior, demonstrating the need for safe and secure AI. The incident...

Unsafe Autonomous Vehicle Incident #113: Importance of Trustworthy AI and Govern Function

Incident #113 highlights an instance where an autonomous vehicle failed to detect a pedestrian, resulting in an accident. This underscores t...

Exploring Incident #112: A Case Study in AI Governance

Delve into the details of Incident #112, a valuable learning opportunity that maps to the Govern function in HISPI Project Cerebellum's Trus...

Exploring Incident #175: A Deep Dive into AI Governance

Delve into the analysis of Incident #175, shedding light on its implications for AI governance. This AI incident maps to the Govern function...

Examining Incident #110 in AI Governance: A Step Towards Responsible AI

Delve into the analysis of Incident #110, a valuable learning opportunity for safe and secure AI practices. This AI incident maps to the Gov...

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.