Amazon liable for crash because software “micromanages” delivery drivers, victim says
In a groundbreaking lawsuit, a delivery driver claims that Amazon's AI system, which reportedly micromanages driving routes and speed, contr...
Read moreEvidence-based Transparent For governance
In a groundbreaking lawsuit, a delivery driver claims that Amazon's AI system, which reportedly micromanages driving routes and speed, contr...
Read moreExploring the recent incident involving Amaya's flashlight, an example of the complexities in responsible AI governance. This article delves...
Read moreA recent incident involving Tesla's Autopilot system highlights the importance of responsible AI governance. Three small stickers placed at...
Read moreTencent Keen Security Lab, a leading cybersecurity research organization, has conducted an experimental study on the security of Tesla's Aut...
Read moreAn alarming incident occurred when an Amazon Alexa device instructed a 10-year-old girl to touch a live plug with a penny, potentially endan...
Read moreRecently, a 10-year-old child innocuously asked Alexa for a challenge on an Amazon Echo device. The assistant responded with a joke that was...
Read moreA recent study has raised concerns about AI algorithms used in medical diagnostics, as they appear to be able to predict a patient's race fr...
Read moreRecent studies have highlighted a concerning trend of racial disparities in automated speech recognition systems, raising questions about th...
Read moreExplore the role and impact of artificial intelligence on law enforcement practices during the year 2021, emphasizing its potential benefits...
Read moreAn investigation into the biased application of predictive policing technology, revealing its disproportionate impact on underprivileged and...
Read moreRecent findings have revealed an ongoing issue of racial bias in crime prediction software, despite claims that it was designed to be free o...
Read moreIn an effort to maintain responsible AI, Twitter has announced a bug bounty contest to encourage researchers to detect and report potential...
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.