Understanding Facebook's Decision to Reject Certain Fashion Ads: A Look at Responsible AI
Exploring the recent rejections of fashion ads on Facebook, this article sheds light on the importance of responsible AI and its role in gov...
Read moreValues 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
Data source & citationStruggles in Ensuring Trustworthy AI: Case Study of Facebook and Twitter against Balkan Content Violations
This incident highlights the challenges in implementing safe and secure AI, specifically in content moderation. Both Facebook and Twitter ar...
Read moreAccidental Blockage by YouTube Algorithm: A Case Study of the Black and White Chess Strategy
An intriguing incident occurred where the YouTube algorithm inadvertently flagged a popular chess strategy video, 'black v white', as violat...
Read moreTesla's Full Self-Driving Technology: Navigating AI Challenges - A Case Study for Safe and Secure AI
Explore the recent AI incident involving Tesla's Full Self-Driving technology being misled by common objects like the moon, billboards, and...
Read moreDubious Moral Advice from an AI Oracle on Reddit: A Case Study in Responsible AI
This AI incident, involving the AI oracle of Delphi, highlights the importance of trustworthy AI and safe and secure AI governance. The AI,...
Read moreDeepfake Bank Heist: Unveiling the Risks of Unregulated AI Technologies
A $35 million heist exposed a chilling use of deepfakes in voice manipulation technology. This incident underscores the importance of trustw...
Read moreYouTube Videos Tricking Children: An Unsafe AI Incident and the Role of Responsible AI
This alarming AI incident involves YouTube videos deceiving children. It highlights the need for safe and secure AI, a key aspect of Project...
Read moreChanges in a Controversial AI Software Company: Promoting Responsible and Trustworthy AI
Following negative publicity, this software company is taking steps to enhance its AI systems. This incident maps to the Govern function in...
Read moreExamining the COMPAS Recidivism Algorithm: A Case Study for Trustworthy AI
This analysis delves into the COMPAS recidivism algorithm, highlighting its impact on justice and underscoring the need for safe and secure...
Read moreDebiasing Bias in AI: A Look at Word Embeddings and the Role of Responsible AI
Explore how AI can perpetuate gender stereotypes through word embeddings, and learn about debiasing strategies to promote trustworthy AI. Re...
Read moreStudy Highlights Bias and Inflexibility in AI's Civility Detection: Understanding the Need for Responsible AI Governance
A recent study uncovers biases and inflexibilities in AI's civility detection capabilities, underscoring the importance of responsible AI go...
Read moreExploring Google's AI Bias Incident Regarding Homosexuality: A Case for Responsible AI Governance
Delve into a significant incident involving Google's AI, showcasing the importance of trustworthy AI and harm prevention. This AI incident m...
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.