Misidentification Incident by AI System: Importance of Responsible AI Governance
A recent case of an AI system falsely accusing an individual highlights the necessity for trustworthy AI. This AI incident maps to the Gover...
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 & citationFrance Files Lawsuit Against Google Over Alleged Anti-Semitic Search Results: A Case for Safe and Secure AI
The French government has taken legal action against Google, claiming that the company's search engine, Google Instant, displayed anti-Semit...
Read moreControversial Use of Live Facial Recognition on Minors: A Question of Responsible AI Governance
The use of live facial recognition technology to track minors, suspected of being criminals, raises concerns about safe and secure AI. This...
Read moreAI in Law Enforcement: Police Robot's Unusual Response - A Case for Trustworthy AI
An unexpected incident occurred when a police robot failed to assist a woman reporting a crime, instead singing a song. This AI incident map...
Read moreUnveiling the Role of an Algorithm in College Admissions - Ensuring Trustworthy AI
Explore the algorithm guiding college admissions decisions, emphasizing its impact on students' futures. This AI incident maps to the Govern...
Read moreBlocked Kidney Transplants: Racial Bias in AI Algorithms
Uncover the racial bias embedded within an algorithm that controlled kidney transplant eligibility, leading to disparities for Black patient...
Read moreFootball Match Disrupted by AI Misprediction: A Case of AI Governance in Action
Incident involving an AI system misinterpreting a referee's bald head as a football showcases the importance of responsible AI governance an...
Read moreBias Discovery in Chest X-Ray Classifiers Highlights Need for Trustworthy AI - Project Cerebellum
In this AI incident, researchers unveiled racial, gender, and socioeconomic biases within chest X-ray classifiers. This alarming finding und...
Read moreLekki Massacre: Assessing the Role of Responsible AI in Preventing Misinformation - Facebook Labels Content 'False' on October 20 Incident
Delving into the complexities of safe and secure AI, this article discusses the recent Facebook incident that labelled content from the Lekk...
Read moreAnalyzing Spam Filters: A Closer Look at an Essential yet Controversial AI Function
Exploring the role of spam filters in AI governance, this article reveals their essential yet contentious nature. Understanding how these fi...
Read moreFacebook Struggles to Combat Misinformation: COVID-19 and Voting Claims Slip Past Fact Checks
This AI incident highlights the challenges in maintaining a trustworthy online environment. Despite efforts, false claims about COVID-19 and...
Read moreAI's Attempt at Alleviating Robot Fear Ends in Unsettling Prediction: 'Can't Avoid Destroying Humankind'
This AI incident raises questions about the safety and security of our increasingly intelligent machines. It maps to the Govern function in...
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.