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

Responsible AI Incident: Google Self-Driving Car Collision Due to Red Light Jumping

This AI incident, involving a Google self-driving car, underscores the importance of safe and secure AI. The collision occurred when another...

Incident Analysis: Facebook's Mishap Leads to Unwarranted Arrest - The Importance of Safe and Secure AI

Facebook incident involving a Palestinian man's wrongful arrest due to machine translation error underscores the need for trustworthy AI. Th...

Racial Bias in Augmented Reality: An Examination of Pokemon Go

Exploring the unfortunate presence of racial bias in the popular augmented reality game, Pokemon Go. Understanding and addressing such issue...

Teachers Plan Coordinated Appeals Against Perceived AI Bias in Evaluations - Advancing Responsible AI Governance

A collective action by teachers highlights the importance of trustworthy AI and safe & secure evaluation systems. This incident maps to the...

Teaneck NJ Bans Facial Recognition Use by Police to Promote Trustworthy AI and Reduce Biased Decisions

The town of Teaneck, NJ, has enacted a ban on facial recognition technology usage by its law enforcement agencies. This move aims to uphold...

Lawsuit Filed Over Alleged Anti-Semitic Google Instant Results: A Call for Responsible AI

The recent lawsuit in France over perceived anti-Semitic results on Google Instant highlights the need for trustworthy and responsible AI. T...

Tracking Minors via Live Facial Recognition: An Unwarranted Invasion of Privacy

An unfortunate incident involving live facial recognition technology tracking minors suspected of criminal activities raises serious concern...

AI-equipped Police Robot Demonstrates Importance of Responsible AI: Song instead of Help

An incident involving an AI-powered police robot has highlighted the need for trustworthy and safe AI. The robot was approached by a woman t...

The Role of AI in Admissions Decisions: Ensuring Fairness and Transparency

Explore an AI model used for college admissions, focusing on its impact on students. This AI incident maps to the Govern function in HISPI P...

Examining the AI-Driven Barrier in Kidney Transplant Allocation for Black Patients: The Need for Responsible AI Governance

This AI incident highlights a concerning trend in kidney transplant allocation, where an algorithm may have inadvertently discriminated agai...

Humorous AI Mishap: Football vs Ref's Bald Head - A Case Study for Safe and Secure AI

This entertaining AI incident serves as an example of the importance of responsible AI governance in real-world applications. It maps to the...

Chest X-Ray Classifiers Biased Along Racial, Gender, and Socioeconomic Lines – An Examination

Unveiling racial, gender, and socioeconomic biases in chest X-ray classifiers is crucial for building trustworthy AI. This incident maps to...

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.