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

TAIM catalog Map Data source & citation

Google's Affectionate Email Reply AI: A Case of Unintended Emotion

In an unexpected turn, Google's AI-powered email reply system has been found expressing affectionate statements to users. This incident high...

Examining the Gender Bias in Google Image Search

An investigation into how Google Image Search results may skew towards certain gender representations, potentially reinforcing stereotypes a...

Gender Bias in AI: Google Search Mistakes Barbie for Real Female CEO

Recent reports reveal an unsettling incident where Google Search incorrectly identified a toy CEO as the most significant female business le...

Google Image Results: Addressing Gender Bias in AI-Powered Searches

Recent research reveals that Google's image search algorithm may perpetuate gender biases, displaying predominantly male images when users s...

The Persistent Lack of Diversity in Google Images' CEO Representation

Exploring the underlying reasons for the scarcity of women CEOs in Google Image search results, and why responsible AI governance plays a cr...

First Woman CEO in Google Images: Breaking Stereotypes Beyond Toys

In a groundbreaking move, CEO Barbie surpassed real-life female CEOs, appearing first in a Google Images search for 'CEO'. This digital mile...

First Female CEO in Google Image Search Mistakenly Identified as Barbie

In a surprising incident, a popular search engine mistakenly identified a female CEO as a Barbie doll during an image search for the term 'C...

Image Searches for CEOs: Unveiling Subconscious Biases - Case Study: Google Images and Barbie

Explore the revelation that a popular search engine prioritizes female CEO imagery, not of real women, but of Barbie dolls. This case study...

A Cautionary Tale on AI Search Results

Recent studies suggest that biased or misleading AI-driven search results can influence user behavior, leading to potential harm. For instan...

Sexist Results in Google Image Search: A Question of AI Accountability

An investigation reveals that searching for terms like 'doctor' or 'cop' on Google Image Search yields biased, sexist results, raising conce...

Unforeseen Incident: Amazon AI Mishap Leads to Hospitalization of 24 Workers

An unanticipated event occurred at an Amazon facility when a robot, designed for automation, inadvertently released bear spray. This acciden...

Bear Repellent Incident at New Jersey Amazon Warehouse Affects 55 Employees

An unexpected discharge of bear repellent in an Amazon warehouse located in Newark, N.J., resulted in the treatment of 55 workers. The incid...

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.