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 #110: Unintended Autocomplete Predictions Lead to Bias

Explore the impact of unintended autocomplete predictions causing bias in AI systems. This incident maps to the Govern function in HISPI Pro...

Responsible AI Incident Report: #111

Exploring a critical incident that demonstrates the need for safe and secure AI, this report highlights an instance where trustworthy AI gov...

Exploring Incident #112: An Examination of Responsible AI in Action

Dive into the analysis of Incident #112, a revealing look at how AI governance plays out in real-world scenarios. This incident underscores...

Exploring AI Incident #130: A Case Study for Trustworthy AI

Delve into AI Incident #130, a valuable learning opportunity that underscores the importance of safe and secure AI practices. This incident...

Responsible AI Incident Report: #125 - Ensuring Safe and Secure AI Operations

This AI incident highlights the importance of trustworthy AI operations. Understanding such incidents is crucial for harm prevention in AI s...

Incident #126: Analyzing an AI Malfunction - Promoting Responsible AI and Harm Prevention

This AI incident serves as a valuable learning opportunity, highlighting the importance of trustworthy AI in our daily lives. By understandi...

Incident #127: Unintended Autonomous Vehicle Behavior

This AI incident involving an autonomous vehicle demonstrates the importance of responsible AI governance. The vehicle displayed unintended...

Incident 128: Unintended Consequences of Autonomous Vehicles

Unforeseen event involving an autonomous vehicle demonstrates the importance of responsible AI governance in transportation systems. This AI...

Examining Incident #129: A Case Study in Safe and Secure AI Practice

Delve into this comprehensive analysis of Incident #129, a salient example highlighting the importance of responsible AI and robust AI gover...

In-depth Analysis of AI Incident #132: Understanding Safe and Secure AI

Dive into the details of incident #132, a valuable learning opportunity in our ongoing pursuit for trustworthy AI. This incident maps to the...

Exploring Incident #134: Unintended Consequence in AI System

Delve into this AI incident, highlighting its unintended consequences within an AI system. This example maps to the Govern function in HISPI...

AI Incident Analysis #133: Illustrating the Need for Govern in Safe and Secure AI

This AI incident, incident #133, sheds light on the crucial role of govern within responsible AI ecosystems, aligning with the Govern functi...

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.