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AI Incidents

TAIM catalog Map Data source & citation

Unexpected Response from Alexa: A Cautionary Tale of AI Incident Management

Recently, a 10-year-old child innocuously asked Alexa for a challenge on an Amazon Echo device. The assistant responded with a joke that was...

AI Predicting Patient Race from X-Ray Images

A recent study has raised concerns about AI algorithms used in medical diagnostics, as they appear to be able to predict a patient's race fr...

Addressing Racial Bias in Automated Speech Recognition: Steps Toward Responsible AI

Recent studies have highlighted a concerning trend of racial disparities in automated speech recognition systems, raising questions about th...

A Look Back: Police Utilization of AI in 2021 - An Overview

Explore the role and impact of artificial intelligence on law enforcement practices during the year 2021, emphasizing its potential benefits...

Unveiling the Disparate Impact of Predictive Policing Software on Low-Income, Black, and Latino Communities

An investigation into the biased application of predictive policing technology, revealing its disproportionate impact on underprivileged and...

Alleged Bias in Crime Prediction Software Unveiled Despite Promises

Recent findings have revealed an ongoing issue of racial bias in crime prediction software, despite claims that it was designed to be free o...

Twitter Launches Bug Bounty Contest for Algorithmic Bias Detection

In an effort to maintain responsible AI, Twitter has announced a bug bounty contest to encourage researchers to detect and report potential...

Examining Twitter's Image Crop Algorithm for Perceived White Bias

In a recent controversy, Twitter users have noticed a perceived bias in the platform's image cropping algorithm, suggesting that it tends to...

Misinterpreted Celestial Object Sparks AI Incident

An intriguing video clip showing the moon in its full glory was recently misconstrued as a yellow traffic light by an AI model, highlighting...

Optimization bias in Facebook ads: Addressing skewed outcomes

An analysis of Facebook's ad delivery system reveals potential for discrimination by optimizing content to specific user demographics. Under...

Thousands of Lives Affected by Flawed English Language AI Test

A popular AI-based English language test has been under scrutiny for producing inaccurate results, potentially ruining thousands of lives. T...

Unforeseen Incident: Three Robots Collide Triggering Warehouse Fire at Ocado

In an unexpected turn of events, a fire erupted at the Ocado warehouse after three robots inadvertently collided. This incident underscores...

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.