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

French Welfare Services and the Emergence of 'Robo-Debt': A Cautionary Tale for Responsible AI

Exploring an instance where AI misuse can lead to financial injustice, this article highlights a 'robo-debt' case involving French welfare s...

Discriminatory AI Allegedly Misidentified Thousands in a Fraud Case: A Call for Responsible AI

This AI incident highlights the need for safe, secure, and trustworthy algorithms. Such incidents underscore the importance of Project Cereb...

Struggles of Personal Voice Assistants with Black Voices Highlighted in New Study - Emphasizing the Importance of Responsible AI

A recent study reveals challenges faced by personal voice assistants when interacting with black voices, underscoring the urgency for trustw...

Twitter's Algorithm Bias: Overrepresentation of White Female Faces in Cropped Photos - Harm Prevention and Safe AI

Explore this concerning incident revealing a potential bias in Twitter's photo crop algorithm, favoring images containing white female faces...

Examining the Equity Algorithm's Impact on California Vaccine Distribution - A Case Study in AI Governance

This AI-driven algorithm, designed to prioritize vaccine distribution based on 'equity', has raised concerns about its effectiveness. The al...

Autopilot Safety Debate: Tesla vs. Crash Victims - Implications for Responsible AI

An examination of the controversial claims regarding Tesla's Autopilot system, focusing on its impact on road safety and highlighting the im...

Sloppy Handling of User Data in a South Korean Chatbot Highlights Importance of Responsible AI Governance

A recent incident involving a South Korean chatbot highlights the need for stringent data protection measures and responsible AI governance....

AI-Powered Patent Exposure Highlights Need for Responsible Surveillance: Huawei Uighur Detection

This AI incident raises concerns about AI governance and the potential misuse of technology. The patent in question, held by Huawei, appears...

Misidentification by Facial Recognition Technology: An Incident Highlighting the Need for Responsible AI

This AI incident involving a black teen misidentified by facial recognition at a skating rink underscores the importance of safe and secure...

Facial Recognition Website: Potential for Law Enforcement Misuse or Privacy Invasion

Explore the implications of a facial recognition website that allows users to identify individuals, highlighting both its potential applicat...

Understanding AI Impact on Healthcare: An Example of Algorithmic Error

Explore a case study showcasing the potential risks of AI in healthcare, emphasizing responsible AI governance and the need for trustworthy...

Amazon's Automated Worker Dismissal Algorithms: A Case for Responsible AI Governance

This AI incident involving Amazon Flex workers highlights the need for safe and secure AI governance. The company's heavy reliance on automa...

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.