Woman In China Says Colleague’s Face Was Able To Unlock Her iPhone X
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 moreEvidence-based Transparent For governance
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 moreAn investigation in Massachusetts has revealed that a Tesla car, operating in Autopilot mode, collided with a state trooper's vehicle. The i...
Read moreIn an alarming incident, a Tesla car operating under the autopilot mode collided with a police vehicle, which subsequently hit an ambulance....
Read moreIn an alarming incident, a Tesla vehicle using Autopilot collided with a police car while the driver was reportedly watching a movie. This u...
Read moreA new study by researchers at the University of Southern California reveals a concerning trend in AI-driven online advertising - women are l...
Read moreAn in-depth examination of concerns surrounding potential biases and misuse in Google's ad-targeting system, emphasizing its impact on user...
Read moreRecent findings reveal that Google's job-matching algorithm displays prestigious job ads to men, but not to women, raising concerns about th...
Read moreThis article explores a recent incident where gender bias was detected in Google's Image Search results. The bias, though seemingly subtle,...
Read moreRecently, Google's Photo application incorrectly identified two black individuals as gorillas. This incident underscores the importance of r...
Read moreIn an incident that raises concerns about AI governance, Google's photo app automatically tagged images of black people with offensive terms...
Read moreA new AI program uses facial analysis to predict criminal behavior, raising concerns about responsible AI governance and the potential for h...
Read moreExplore the intricacies of AI fairness in a unique, interactive courtroom setting. This game highlights the challenges and solutions in crea...
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.