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

Case Study on AI Incident #149: Understanding its Impact and Role in Safe AI

Dive into the analysis of incident #149, which provides valuable insights into the importance of responsible AI governance for harm preventi...

Exploring Incident #150: A Case Study of Responsible AI Governance

Dive into Incident #150, a valuable learning opportunity showcasing the importance of robust AI governance in a real-world context. This AI...

Exploring Incident #151: Analyzing AI Malfunction for Harm Prevention

Dive into the analysis of Incident #151, a case study demonstrating an AI malfunction and its potential impact on trustworthy AI. This AI in...

Incident Report #152: Unintended Consequences of an Autonomous Vehicle System

This AI incident involving an autonomous vehicle system highlights the urgent need for responsible AI governance. By understanding the unint...

AI Incident 170: Examining an Instance of Unintended Bias in Machine Learning Models

This AI incident sheds light on a case of unintended bias, highlighting the importance of trustworthy AI and responsible AI governance. By u...

Responsible AI Incident Analysis: Case Study #165

Exploring an AI incident and its impact on trustworthy AI. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted...

AI Incident 166: Analyzing a Case for Harm Prevention in Responsible AI

Exploring the details of this AI incident, we emphasize its significance in ensuring safe and secure AI practices. This incident maps to the...

Analyzing AI Incident #167: Ensuring Safe and Secure AI Operations

Incident analysis of #167 highlights the importance of robust AI governance. This AI incident maps to the Govern function in HISPI Project C...

AI Incident 168: Unintended Consequences of Autonomous Vehicles

This AI incident highlights the importance of responsible AI governance in autonomous vehicles. The unintended consequences resulted in safe...

AI Incident Analysis #169: Exploring Safe and Secure AI Governance

Dive into a comprehensive analysis of incident #169, showcasing the importance of responsible AI governance. This AI incident maps to the 'G...

Case Study: AI Incident #172 - Understanding Its Role in HISPI's Project Cerebellum Trusted AI Model

Delve into the insights from AI incident #172, which maps to the Govern function within the HISPI Project Cerebellum Trusted AI Model. This...

AI Incident #174: Unintended Consequences of Autonomous Vehicles

This AI incident highlights the importance of responsible AI governance in autonomous vehicles. The unforeseen collision occurred due to a s...

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.