Amazon Alters Search Results for Adult Books Including National Book Award Winner
Tech giant Amazon has reportedly de-ranked books labeled as 'adult' in its search results, which includes the 2018 National Book Award winne...
Read moreEvidence-based Transparent For governance
Tech giant Amazon has reportedly de-ranked books labeled as 'adult' in its search results, which includes the 2018 National Book Award winne...
Read moreIn an era of rapid AI adoption, understanding the role of responsible AI governance is crucial. A recent incident at The New York Times unde...
Read moreAuthor Zoe Margolis, in response to Amazon's alleged censorship, has expressed her concerns about the impact of such actions on freedom of s...
Read moreIn an effort to ensure a family-friendly browsing experience, Amazon has implemented changes to its search algorithm that prevent certain er...
Read moreExploring the 2010 incident where Amazon suspended sales of books related to LGBTQ+ topics, this article emphasizes the importance of respon...
Read moreIn the recent Amazonfail incident, a recruitment tool reportedly discriminated against candidates based on gender, raising concerns about AI...
Read moreAn author, who writes texts based on preferred orientation, found their book was struggling to gain visibility on Amazon's platform due to i...
Read moreAn analysis of the controversial incident where Amazon.com delisted several books depicting LGBTQ+ themes, sparking a debate about censorshi...
Read moreRecent concerns have been raised over Amazon's content moderation policies, reminiscent of the cultural era of the 1950s. The e-commerce gia...
Read moreRecently, Amazon has been criticized for removing LGBTQ+ titles from their search results. This incident raises concerns about the responsib...
Read moreRecent reports suggest that an incident involving Amazon's AI systems may have resulted in harm to a user. This underscores the need for saf...
Read moreA technical glitch at Amazon resulted in gay-themed content being filtered as inappropriate, raising concerns about responsible AI governanc...
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.