Incident Analysis: Potential AI-Assisted Cheating in California Bar Exam
An alarming third of California Bar Exam applicants were flagged for potential cheating, raising concerns about the use and effectiveness of...
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 & citationTikTok Anorexia Content Circumventing AI Moderation: A Case Study in Harm Prevention and AI Governance
This incident involving TikTok anorexia videos that manipulate hashtags to evade moderation underscores the need for robust, responsible AI....
Read moreAccount Deletion of a Latina Trans Woman on TikTok Highlights Need for Responsible AI
This incident underscores the importance of safe and secure AI governance in the social media space. The account deletion of a Latina trans...
Read moreAI-controlled Mall Robot Accident: Understanding the Importance of Safe and Secure AI
An incident involving an AI-controlled mall robot falling off an escalator occurred, causing passengers to be knocked down. This AI incident...
Read moreAnalyzing an Admissions Algorithm: A Case Study in Responsible AI
This incident involving an admissions algorithm sheds light on the importance of trustworthy AI. By understanding its strengths and weakness...
Read moreThe Impact of Brand Safety Technology on News Funding: A Case for Responsible AI
Exploring the unintended consequences of brand safety technology, this article raises awareness for safe and secure AI. This AI incident map...
Read moreIsraeli Farmer Challenges AI Decision-Making: A Case Study for Responsible AI
An unconventional conflict between an Israeli farmer and an algorithm highlights the importance of safe, secure, and trustworthy AI governan...
Read moreUniversity of Illinois Halts Use of Remote-Testing Software over Alleged Privacy Breach - Emphasizing the Importance of Trustworthy AI
The University of Illinois has decided to discontinue the use of its remote-testing software, following concerns about privacy violations ra...
Read moreAssessing the Role of AI in Managing Vaccine Misinformation on E-commerce Platforms
This article examines an incident involving algorithmically curated vaccine misinformation on e-commerce platforms. It highlights the import...
Read moreExam Monitoring Software Disadvantages for BIPOC Students at the University of Toronto: An AI Incident
This AI incident highlights potential disadvantages faced by Black, Indigenous, and People of Color (BIPOC) students using exam monitoring s...
Read moreExamining AI's Role in Detecting Unwanted Live Streaming: The Beverly Hills Cop Incident
This incident involving the potential use of music to evade live streaming raises questions about the capabilities and limitations of AI. It...
Read moreFacebook's Rejection of Certain Fashion Ads: An Examination through the Lens of Responsible AI
In this article, we delve into the reasons behind Facebook's rejection of certain fashion ads, highlighting their role in upholding trustwor...
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.