'Three black teenagers' online search sparks debate on Twitter over AI bias
A recent incident involving a Google search for 'three black teenagers' has sparked a heated discussion on Twitter, shedding light on the po...
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
TAIM catalog Map Data source & citationGoogle Search Results for 'Three Black Teenagers': An Unwelcome Surprise
Recent findings reveal that when users search for 'three black teenagers' on Google, an image of three men, two of whom are white and one bl...
Read moreAI Incident Analysis: Barstool Sports and the Role of Responsible AI
In an unexpected turn of events, a recent AI-powered decision by Barstool Sports raised concerns about safe and secure AI operations. The in...
Read moreTargeting the Vulnerable: An AI Incident Involving White Supremacists and the Elderly
Recent research has uncovered an alarming incident where artificial intelligence was used to target Black elderly individuals, with white su...
Read more'Google Image Search' Incident Highlights Importance of Responsible AI, Triggers Racism Debate
A recent incident involving a Google Image search has sparked discussions about racism and the need for responsible AI governance. Three bla...
Read moreGuiding Ethical AI Development in Law Enforcement
Exploring the potential benefits and risks of AI integration in policing, this article delves into responsible AI governance and trustworthy...
Read moreExamining Crime Prediction Software: Uncovering Potential Bias or a Promising Tool for Public Safety
In an era where data-driven decision making is increasingly prominent, the use of software to predict crime has garnered attention. Proponen...
Read moreFuture of Crime-Fighting or Racial Profiling?: Understanding Predictive Policing
Explore the growing use of predictive policing in crime prevention, and its potential impact on fairness and equity. This article delves int...
Read moreExercise Caution in AI-Powered Law Enforcement
A recent study by MIT Media Lab sheds light on the potential risks of using data-driven policing systems, highlighting the importance of saf...
Read morePredicting Responsible AI Outcomes
Exploring the complexities of using AI in decision-making processes and ensuring safety, fairness, and transparency.
Read moreAssessing Predictive Policing: A Question of Harm Prevention
Exploring the impact of predictive policing on racial bias, privacy concerns, and community trust. Discussing responsible AI practices for s...
Read moreRisks of Unverified Labeling in Police AI Systems: Misidentifying Suspects
An investigation reveals potential misuse of AI systems in law enforcement, where innocent individuals are inaccurately labeled as suspects...
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.