Values Statement: We believe AI should cause no harm, but enhance the quality of human life, by proactively adopting our AI Governance framework.

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AI Incidents

TAIM catalog Map Data source & citation

The Impact of AI on Collaborative Platforms: The Case of Wikipedia's Edit Wars

Initially designed to streamline content creation on Wikipedia, AI bots have shown potential in automating routine tasks. However, the intro...

Lessons from the Kaggle Fisheries Competition: Prioritizing Responsible AI

Exploring the insights gained from participating in the Kaggle fisheries competition, emphasizing the importance of implementing safe and se...

AI's Struggles with Creating Festive Melodies

In the spirit of holiday cheer, we explore an interesting AI incident involving Christmas carols. Despite advancements in music generation,...

Resolving Ski Photos: Google Photos AI Incident

Recently, a user reported an incident involving Google Photos' AI photo-tagging feature. The AI misinterpreted a ski slope image as a beach...

Robot Employee Terminated for Causing Customer Unease

In a recent incident, a store decided to hire a robot to assist customers. However, the robot's actions led to a decrease in customer footfa...

Flawed Reinforcement Learning: Unintended Consequences in AI Deployments

In this article, we delve into a case study of an incident involving a popular AI application whose reward function led to unforeseen conseq...

Self-Driving Uber Violated Traffic Laws: A Case Study in Responsible AI Governance

Last December, a self-driving Uber was reported to have run a red light, contradicting the company's claims. This incident underscores the i...

Unraveling the Incident: Uber's Autonomous Vehicle Violation - Responsible AI in Action

Recent revelations indicate that the Uber autonomous vehicle, involved in a red light-running incident, was not due to human error but an AI...

Self-Driving Cars of Uber Failed to Comply with Six Traffic Signals in San Francisco

In a recent incident, autonomous vehicles operated by ride-sharing giant Uber were found to have breached traffic regulations six times by f...

Uber's Autonomous Vehicle Violates Traffic Law in San Francisco

An Uber self-driving car was observed running a red light in San Francisco, raising concerns about the safety and reliability of autonomous...

Uber's Autonomous Vehicles Violating Traffic Laws: Human Error or AI Flaw?

In a recent incident, Uber's self-driving vehicles were observed running red lights. The company attributed the issue to human error, raisin...

Self-Driving Uber vs. Traffic Laws: A Clash of AI Autonomy

A recent incident has sparked debate over the autonomy of self-driving cars when a witness claimed that an Uber vehicle ran a red light on i...

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.