Understanding AI Bias in Facebook's Fashion Ad Approval: A Case Study
Investigating the role of AI governance in recent fashion ad rejections on Facebook, this analysis highlights the importance of safe and sec...
Read moreEvidence-based Transparent For governance
Investigating the role of AI governance in recent fashion ad rejections on Facebook, this analysis highlights the importance of safe and sec...
Read moreThis AI incident, involving content violations in the Balkan region, highlights the ongoing struggle of tech giants like Facebook and Twitte...
Read moreRecent incident involving the YouTube algorithm blocking a popular black-and-white chess strategy underscores the need for robust governance...
Read moreDelving into the realm of responsible AI, this incident sheds light on the performance of Tesla's Full Self-Driving feature. Understanding i...
Read moreInvestigate the complexities of instilling morality in AI systems and the importance of responsible AI governance for harm prevention. This...
Read moreThis AI incident involving voice cloning underscores the need for robust governance in AI systems. The incident maps to the Govern function...
Read moreInvestigating misleading statements about website accessibility overlays, this analysis underscores the need for responsible AI governance a...
Read moreZillow, a leading real estate marketplace, announced its withdrawal from the home buying business, resulting in a 25% workforce reduction. T...
Read moreExplore the controversy surrounding a popular birth control app, highlighting the need for trustworthy AI and safe and secure data handling....
Read moreThis article delves into recent at-fault robotaxi accidents involving key players like Waymo, Pony.AI, and Olli. These incidents highlight t...
Read moreThis alarming incident reveals how certain YouTube videos manipulate children, highlighting the need for responsible AI governance. Such inc...
Read moreThis software company is redefining its approach to artificial intelligence, aligning with responsible AI principles such as governance, tru...
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.