Amicus Brief in New Jersey v. Pickett: Advancing Responsible AI Governance
In the landmark case of New Jersey v. Pickett, an amicus brief was filed by experts advocating for the implementation of robust governance f...
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 & citationAddressing Bias in AI: The Impact on Canada's Criminal Justice System
Exploring how AI systems can perpetuate racial bias within the Canadian criminal justice system, emphasizing the need for responsible AI gov...
Read moreArtificial Intelligence and the Consequence of Incarceration Misjudgements
An exploration of an incident where a computer program misinterpreted evidence, contributing to a wrongful conviction in the justice system....
Read moreChina Woman's iPhone X Unlocked by Colleague's Facial Recognition
A woman in China reported an incident where her colleague was able to unlock her iPhone X using his own face, raising concerns about facial...
Read moreMassachusetts State Trooper's Vehicle Collision: Tesla in Autopilot Mode
An investigation in Massachusetts has revealed that a Tesla car, operating in Autopilot mode, collided with a state trooper's vehicle. The i...
Read morePolice Report: Autonomous Tesla Involved in Multi-Vehicle Collision under 'Autopilot', Driver Suspected to be Impaired
In an alarming incident, a Tesla car operating under the autopilot mode collided with a police vehicle, which subsequently hit an ambulance....
Read moreAutopilot Malfunction: Tesla Driver Admitted to Watching Movie During Incident
In an alarming incident, a Tesla vehicle using Autopilot collided with a police car while the driver was reportedly watching a movie. This u...
Read moreGender Bias in AI Advertising: Women Less Likely to See High-Paid Job Ads on Google
A new study by researchers at the University of Southern California reveals a concerning trend in AI-driven online advertising - women are l...
Read moreExploring the Controversial Aspects of Google's Ad Targeting System
An in-depth examination of concerns surrounding potential biases and misuse in Google's ad-targeting system, emphasizing its impact on user...
Read moreBias in AI: Google's Algorithm Preferences Men Over Women
Recent findings reveal that Google's job-matching algorithm displays prestigious job ads to men, but not to women, raising concerns about th...
Read moreUnveiling the Unseen Gender Bias in Google Image Search: A Case for Responsible AI
This article explores a recent incident where gender bias was detected in Google's Image Search results. The bias, though seemingly subtle,...
Read moreGoogle Photos Misidentifies Humans as Primates: An Unfortunate Incident in AI Governance
Recently, Google's Photo application incorrectly identified two black individuals as gorillas. This incident underscores the importance of r...
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.