False Matches by Amazon's Facial Recognition Highlight the Need for Responsible AI
A recent incident involving Amazon's facial recognition technology misidentifying 28 members of Congress underscores the importance of trust...
Read moreValues Statement: We believe AI should cause no harm, but enhance the quality of human life, by proactively adopting our AI Governance framework.
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AI Incidents
Data source & citationShutdown of Genderify AI Platform Highlights Need for Responsible AI Governance
The shutdown of the AI-powered 'Genderify' platform underscores the importance of safe, secure, and trustworthy AI. This incident maps to th...
Read moreUnfair Punishments by Amazon's AI Cameras: Preventing Harm through Responsible AI Governance
Recent incidents involving Amazon's AI cameras incorrectly penalizing drivers highlight the need for safe and secure AI governance. By imple...
Read moreExamining Algorithmic Bias in TikTok: A Case for Responsible AI Governance
This incident highlights potential racial bias within TikTok's algorithm, emphasizing the importance of safe and secure AI governance. By im...
Read moreExploring Bias in AI: The Issue of Islamophobia and the Importance of Trustworthy AI
Delve into an important discussion about bias in AI, focusing on instances of Islamophobia. Understanding and addressing these issues is cru...
Read moreControversial Decision by Xsolla: Dismissal of 150 Employees Based on Big Data and AI Analysis - A Case Study for Responsible AI
In this article, we delve into the recent controversial decision made by Xsolla, a company that leverages big data and AI. The company fired...
Read moreUnsupervised GPT-3 AI Incident on Reddit: A Lesson in Responsible AI Governance
An unsupervised GPT-3 bot interacted on Reddit, leading to undesirable results, underscoring the need for safe and secure AI governance. Thi...
Read moreIncident of Potential Use of Autonomous Weapon System in Libya: An Examination
This AI incident raises questions about the potential use of autonomous weapon systems, highlighting the need for responsible AI governance...
Read moreFacebook Privacy Lawsuit Settlement Over Facial Recognition Technology: A Step Towards Responsible AI
Facebook agreed to pay $550 million in a settlement for privacy violations related to facial recognition technology. This incident highlight...
Read moreMisleading AI Claims in Medicine: An Unfortunate Incident and Its Implications for Responsible Healthcare AI
This incident sheds light on the consequences of overstated AI claims, especially in medicine. It underscores the importance of trustworthy...
Read moreRacial Bias in AI: Healthcare Algorithm Disproportionately Reduced Care for Black Patients
This AI incident highlights the critical need for trustworthy AI in healthcare. The algorithm, designed to offer care, instead disproportion...
Read moreCalifornia's Warehouse Worker Bill: A Step Towards Safe and Secure AI in the Workplace
The recent passage of California's warehouse worker bill marks a significant stride towards responsible AI governance, particularly in work...
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.