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

NYPD's Controversial Use of AI-Powered Robot Dog Sparks Discussion on Responsible AI Governance

The incident involving the NYPD's use of a robot dog highlights the need for safe and secure AI governance. This AI incident maps to the Gov...

Race as a High Impact Predictor in AI Used by Major Universities: A Case for Responsible AI Governance

This AI incident, used by major universities to predict student success, highlights the need for responsible AI governance and trustworthy A...

Exploring 'Robo-Debt' in French Welfare Services: A Case Study for Safe and Secure AI

Investigate the rising concern of 'robo-debt' in France's welfare services, a prime example highlighting the need for responsible AI governa...

Thousands Affected by Discriminatory AI Allegation: The Importance of Responsible AI Governance

Learn about a case where an algorithm allegedly incorrectly accused thousands of families of fraud. This AI incident maps to the Govern func...

Struggles of Personal Voice Assistants with Black Voices Highlighted in New Study - Enhancing Responsible AI

A recent study reveals challenges faced by personal voice assistants when interacting with black voices, underscoring the importance of trus...

Analyzing Twitter's Biased Photo Cropping Algorithm: Ensuring Trustworthy AI

This investigation highlights a concerning bias in Twitter's photo cropping algorithm, favoring white faces and women. This AI incident maps...

Algorithm Bias Incident in California Vaccine Distribution: 2 Million Struggling Residents Affected

This AI incident highlights the potential harm of bias in algorithms, particularly in critical areas such as healthcare. This AI incident ma...

Controversy Surrounds Tesla's Autopilot: Balancing Safety and Advancement in AI Governance

The debate on Tesla's Autopilot system highlights the need for responsible AI governance. While Tesla claims it makes their cars safer, cras...

Chatbot Incident Highlights Importance of Safe and Secure AI Data Handling – Project Cerebellum

Recent incident involving a South Korean chatbot underscores the need for trustworthy AI governance. User data privacy was compromised, rein...

Disturbing Patent Exposed: Huawei's AI-Powered Uighur Detection System

This AI incident sheds light on a concerning development by Huawei. The patent, if implemented, could potentially employ AI for Uighur detec...

Misidentification Incident: Facial Recognition Mistakes Black Teen at Skating Rink

AI incident involving facial recognition system misidentifying a black teenager, leading to her eviction from a skating rink. This AI incide...

Facial Recognition Website: Potential for Law Enforcement Misuse or Stalking

Explore the implications of a facial recognition website that empowers users to perform searches, potentially enabling law enforcement misus...

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.