AI Incidents
Data source & citationCalifornia Passes Warehouse Worker Bill, Taking Aim at Amazon
Read moreMajor fire breaks out at Ocado warehouse after three robots collide
Read moreMicrosoft sacks journalists to replace them with robots
Read moreEthical Guardrails Implemented by Tech Companies in AI Development - Project Cerebellum's Role in Harm Prevention
Tech companies are making strides to implement ethical guardrails in their AI development, ensuring safe and secure operations for all. This...
Read moreFacebook AI moderator confused videos of mass shootings and car washes
Read moreEthnicity Detection Algorithm Incident at Alibaba Cloud: A Case for Responsible AI Governance
The ethnicity detection algorithm developed by Alibaba's cloud unit has caused controversy, demonstrating the need for safe and secure AI go...
Read moreCalifornia Bar Exam Flagged A THIRD Of Applicants As Cheating
Read moreTikTok Anorexia Videos Evade 'Pro-Ana' Ban Using Misspelled Hashtags - A Case Study in AI Governance for Trustworthy AI
Exploring the impact of AI on social media content moderation, this case study highlights TikTok anorexia videos using misspelled hashtags t...
Read moreAccount Suspension of Latinx Transgender User on TikTok Raises Concerns About AI Bias
This account deletion incident involving a Latina trans woman on TikTok highlights potential biases within AI systems, emphasizing the need...
Read moreUnsafe AI Incident: Mall Robot Falls Off Escalator, Harms Passengers - Emphasizing Importance of Safe and Secure AI in Project Cerebellum
Recent incident involving a shopping mall robot that fell off an escalator, causing harm to passengers, highlights the urgent need for robus...
Read moreExploring the Impact of an Admissions AI Algorithm: A Case Study on Responsible AI
Dive into the case of an admissions algorithm, discussing its effects on students' lives and the importance of safe and secure AI in decisio...
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.