Evidence-based Transparent For governance
Nov 23, 2018
This AI incident involving an automated license plate reader in California illustrates the critical role of trustworthy AI. The system incor...
Read moreNov 9, 2018
Investigation reveals disparate performance along racial lines, with smiling or ambiguous facial photos for Black faces more frequently clas...
Read moreNov 8, 2018
The New York Police Department (NYPD) mistakenly identified a Black teenager using facial recognition, leading to his wrongful attempted arr...
Read moreNov 6, 2018
An incident involving a facial recognition system in China highlights the importance of trustworthy and safe AI governance. The system misto...
Read moreOct 27, 2018
Tragic crash of a Boeing 737, claiming 189 lives, was due to faulty sensor data causing an automated system to incorrectly push the plane's...
Read moreOct 1, 2018
Oregon’s Department of Human Services (DHS) discontinued the use of its Safety at Screening Tool, which predicted the risk of child abuse in...
Read moreOct 1, 2018
In early 2018, Facebook's News Feed algorithm overhaul led to concerns as its emphasis on re-shared content was linked to a rise in misinfor...
Read moreSep 1, 2018
The childcare benefits system in the Netherlands erroneously accused thousands of families of fraud, partly due to a discriminatory algorith...
Read moreAug 15, 2018
Allegations claim that Facebook failed to promptly remove dehumanizing and violent anti-Rohingya hate speech content, potentially exacerbati...
Read moreAug 13, 2018
In March 2019, the U.S. Department of Housing and Urban Development accused Facebook of infringing on the Fair Housing Act by enabling real...
Read moreAug 1, 2018
An internal report suggests Amazon manipulated its product search algorithm to promote in-house products, raising concerns about adherence t...
Read moreJul 26, 2018
Amazon's Rekognition face comparison feature was found to misidentify members of Congress, particularly those of color, as individuals with...
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.
