Italian Court Upholds Fairness in AI: Deliveroo Rider-Ranking Algorithm Found Discriminatory
A landmark decision by an Italian court underscores the importance of responsible AI governance. The court ruled against Deliveroo's rider-r...
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 & citationPause in Job Screening Service's Use of Facial Recognition for Applicant Analysis
A job screening service temporarily halted its facial analysis process used on applicants, raising concerns about AI bias and privacy. This...
Read moreLawsuit Over Teacher Evaluation System in Houston Schools: An AI Governance Issue
This incident raises questions about the responsible use of AI in education, particularly when it comes to high-stakes evaluations. It maps...
Read moreTesla Autopilot Misidentifies Stop Signs: An Unsafe AI Incident
An alarming incident involving Tesla's Autopilot system has raised concerns about the safety of self-driving cars. The AI system failed to r...
Read moreNYPD's Use of AI-Powered Robot Dog Triggers Discourse on Responsible AI Governance
The deployment of NYPD's robot dog sparked controversy, highlighting the need for safe and secure AI governance. This AI incident maps to th...
Read moreRace Used as High-Impact Predictor in AI Systems at Major Universities: Potential for Biased Outcomes
This incident raises concerns about the fairness of AI in education, highlighting the use of race as a 'high impact predictor' of student su...
Read moreFrance's 'Robo-Debt': Examining AI-Related Welfare Service Challenges
This AI incident highlights the potential risks of automated debt collection in welfare services, emphasizing the need for responsible AI go...
Read moreExploring the Impact of a Bias-Prone AI Allegation: Thousands Wrongly Accused of Fraud
This AI incident highlights the need for robust AI governance to prevent harm. The discriminatory algorithm, a stark reminder of the challen...
Read moreStruggles of Personal Voice Assistants with Black Voices Highlighted in New Study - Emphasizing the Need for Responsible AI
A recent study underscores challenges faced by personal voice assistants when processing black voices, emphasizing the importance of trustwo...
Read moreAnalyzing Twitter's Image Cropping Algorithm: Bias Towards White Females Revealed
Uncovering potential biases in AI: Twitter's photo crop algorithm exhibits a preference towards white females, raising concerns for responsi...
Read moreThe Impact of California's Algorithm on Vaccine Allocation: A Case Study in AI Governance
Explore the potential consequences of an algorithm aimed at 'equity', which may inadvertently exclude 2 million Californians from additional...
Read moreEvaluating the Safety of Autonomous Vehicles: Tesla's Autopilot under Scrutiny
Assessing the safety of autonomous vehicles remains a critical concern. While Tesla claims its Autopilot system enhances safety, crash victi...
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.