Amazon: 'Glitch' caused gay censorship error
A technical glitch at Amazon resulted in gay-themed content being filtered as inappropriate, raising concerns about responsible AI governanc...
Read moreEvidence-based Transparent For governance
A technical glitch at Amazon resulted in gay-themed content being filtered as inappropriate, raising concerns about responsible AI governanc...
Read moreAn intriguing and unexplained incident occurred recently where books categorized under LGBTQ+ themes experienced a significant drop in their...
Read moreRecent changes in Amazon's algorithm have raised concerns about potential censorship of adult books. The shift has resulted in these titles...
Read moreThe recent incident involving Amazon's recommendation system, which suggested a gay book as 'gay and lesbian' to customers, has sparked cont...
Read moreIn an attempt to prevent manipulation of the marketplace, Amazon has reportedly stopped providing sales rank data for certain products. This...
Read moreIn a recent incident, Amazon acknowledged an error that had temporarily removed the sales rankings of certain products related to gay and le...
Read moreIn an effort to ensure a safe and secure online environment, Amazon has been reportedly manipulating search results and product rankings to...
Read moreIn a case highlighting the importance of AI governance, Google's photo-organizing AI software failed to correctly identify gorillas in a use...
Read moreRecently, Google's Photo application incorrectly tagged two black individuals as 'gorillas'. The incident highlights the biases and potentia...
Read moreGoogle's facial recognition software, used in its photo-organizing app Google Photos, misidentified two African-American individuals as gori...
Read moreGoogle has issued a formal apology following an incident where its image recognition app misclassified black people as gorillas. The error,...
Read moreIn an incident demonstrating the need for robust AI governance, Google's Photo application inadvertently labeled several photos of black ind...
Read moreData 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.