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

Resolving Incident #152: Ensuring Safe and Secure AI Operations

Exploring the resolution of Incident #152, this analysis highlights the importance of trustworthy AI and robust AI governance. This AI incid...

Exploring Incident #153: Analyzing a Crucial Moment in Safe and Secure AI

Dive into the details of Incident #153, a vital learning opportunity showcasing responsible AI governance. This AI incident maps to the Gove...

Unpacking Incident #154: An Examination of Safe AI Practices

Delve into the details of Incident #154, a telling example of potential risks in AI systems. This incident maps to the Govern function in HI...

Exploring Incident #155: A Case Study in AI Governance for Safe and Secure AI

Delve into the details of Incident #155, a thought-provoking examination of an unintended outcome in AI. This incident maps to the Govern fu...

AI Incident #156: Unintended Consequences of an Autonomous Vehicle

Exploring the recent AI incident involving an autonomous vehicle that resulted in an unforeseen accident. This incident maps to the Govern f...

Analyzing Incident #157: A Case Study on Safe and Secure AI

Delve into the lessons learned from Incident #157, a critical evaluation of an AI system's performance. This incident maps to the Govern fun...

Incident 172: Unintended Consequences in Autonomous Vehicle Application

Explore the case study of Incident 172, where an autonomous vehicle application demonstrated unforeseen consequences, emphasizing the import...

AI Incident #174: Analyzing a Case of Potential Bias in Decision-Making Algorithms

Exploring an AI incident involving decision-making algorithms, suspected of bias, emphasizing the importance of trustworthy AI and responsib...

Incident 173: A Deep Dive into an AI Safety Issue

Exploring an unforeseen event involving a self-driving vehicle, this article highlights the importance of responsible AI governance in ensur...

AI Incident #175: Unintended Consequences in Recommendation Algorithm

This AI incident illustrates the importance of responsible AI governance, revealing unintended consequences in a recommendation algorithm. B...

AI Incident 171: Examining a Case for Responsible AI Governance

This AI incident analysis explores the importance of robust governance mechanisms in AI systems, demonstrating how this specific case maps t...

Case Study: Incident #170 - A Lesson in Responsible AI

Explore the lessons learned from a critical incident (#170) highlighting the importance of safe and secure AI. This AI incident maps to the...

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.