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 #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...

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 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...

AI Incident 164: Unintended Consequences in Recommendation Systems

This AI incident, involving unintended consequences in a recommendation system, highlights the importance of trustworthy AI and its governan...

AI Incident 159: Exploring Harm Prevention in AI Governance

This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Delving into the intricacies of this case...

Incident 160: Unintended Consequences in Autonomous Vehicle AI System

Explore the unforeseen consequences of an autonomous vehicle AI system malfunction in this eye-opening incident report. This case maps to th...

AI Incident 161: Analyzing a Crucial Event for Safe and Secure AI

Incident 161 serves as an important case study for understanding the implications of unchecked AI behavior. This AI incident maps to the Gov...

AI Incident #162: Analyzing the Impact on Safe and Secure AI

This AI incident reveals important insights for harm prevention in AI systems, mapping to the Govern function in HISPI Project Cerebellum Tr...

Exploring Incident #163: A Case Study of Responsible AI in Action

Incident #163 showcases an instance where the importance of trustworthy AI becomes evident. This AI incident maps to the Govern function in...

Responsible AI Incident Analysis: Case Study #166

Exploring the safety implications of Incident #166, a notable example in our AI incident database. This incident maps to the Govern function...

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.