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

Unexplained Drop in Sales Rank for LGBTQ+ Literature on Amazon

An intriguing and unexplained incident occurred recently where books categorized under LGBTQ+ themes experienced a significant drop in their...

Controversy over Amazon's Algorithm Change Impacting 'Adult' Book Rankings

Recent changes in Amazon's algorithm have raised concerns about potential censorship of adult books. The shift has resulted in these titles...

Amazon's Controversy Over 'Glitch': A Responsible AI Concern

The recent incident involving Amazon's recommendation system, which suggested a gay book as 'gay and lesbian' to customers, has sparked cont...

Purging Sales Rank from Amazon: A Step Towards Responsible AI Governance

In an attempt to prevent manipulation of the marketplace, Amazon has reportedly stopped providing sales rank data for certain products. This...

Addressing AI Bias: Amazon Corrects Error Removing Gay and Lesbian Sales Rankings

In a recent incident, Amazon acknowledged an error that had temporarily removed the sales rankings of certain products related to gay and le...

Amazon Alters Rankings & Search Results for Protection of LGBTQ+ Content

In an effort to ensure a safe and secure online environment, Amazon has been reportedly manipulating search results and product rankings to...

Google Photos Fails to Identify Gorillas Responsibly

In a case highlighting the importance of AI governance, Google's photo-organizing AI software failed to correctly identify gorillas in a use...

Google Photos App Mistakes Black Users for Gorillas

Recently, Google's Photo application incorrectly tagged two black individuals as 'gorillas'. The incident highlights the biases and potentia...

Facial Recognition Error: Google Photos Mistakes Two African-Americans for Gorillas

Google's facial recognition software, used in its photo-organizing app Google Photos, misidentified two African-American individuals as gori...

Google Apologizes for AI App Misidentifying Black Individuals as Gorillas

Google has issued a formal apology following an incident where its image recognition app misclassified black people as gorillas. The error,...

Google Photos Mislabels Black Individuals as 'Gorillas': A Case for Responsible AI

In an incident demonstrating the need for robust AI governance, Google's Photo application inadvertently labeled several photos of black ind...

Google's Misidentification: A Case Study in Responsible AI

In this article, we delve into the infamous Google Photos incident where an image of a Black woman was mistakenly labeled as a gorilla. This...

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.