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 #142: Unintended Prediction Bias

This AI incident, involving unintended prediction bias in a customer service bot, underscores the need for safe and secure AI. It maps to th...

AI Incident #141: Unintended Data Leakage Raises Awareness on Importance of Robust Data Protection Mechanisms in AI Systems

This AI incident, mapping to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM), highlights the critical role of trustw...

Exploring Incident #140: A Case Study of AI Governance in Action

Delve into the details of Incident #140, demonstrating the practical application of AI governance for ensuring safe and secure AI operations...

Investigating AI Incident #139: Ensuring Safe and Secure AI Operations

This AI incident highlights the importance of responsible AI governance in ensuring safe and secure AI operations. By analyzing the case, we...

Resolving Incident #138: A Case Study in Safe AI Governance

Delve into the resolution of Incident #138, an illustrative example of the importance of safe and secure AI governance. This AI incident map...

Resolving Incident #137: Demonstrating Safe AI Governance

Exploring the challenges and solutions of Incident #137, which maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAI...

Exploring Incident #128: A Deep Dive into Responsible AI Governance

Delve into the details of Incident #128, a valuable learning opportunity for safe and secure AI. This AI incident maps to the Govern functio...

Resolving Incident #130: A Case Study in AI Governance

Delve into the resolution of Incident #130, a critical event that underscores the importance of responsible AI and safe & secure AI practice...

AI Incident Analysis #129 - Understanding Govern Function Mishaps in Project Cerebellum's Trusted AI Model

Explore the implications of this AI incident, which maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Gain in...

Incident #131 - Unintended Autocomplete Suggestions in AI Assistant

Unintended autocomplete suggestions in an AI assistant led to misinformation spread, highlighting the need for safe and secure AI. This AI i...

Exploring Incident #127: A Case Study in AI Governance

Delve into the details of Incident #127, a telling example highlighting the importance of safe and secure AI operations. This AI incident ma...

Exploring Incident 126: An Important Case Study in Responsible AI

Delve into Incident #126, a valuable learning opportunity that underscores the need for trustworthy AI. This incident maps to the Govern fun...

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.