Evidence-based Transparent For governance
Jun 23, 2015
A near-miss incident occurred between a Delphi self-driving Audi Q5 prototype and a Google self-driving Lexus RX400h on San Antonio Road, Pa...
Read moreJun 14, 2015
The initial version of Facebook's Tag Suggestions, offering suggestions about individuals in photos, has been accused of storing biometric d...
Read moreJun 3, 2015
In an incident that underscores the need for responsible AI governance, Google Photos image processing software labeled a black couple as 'g...
Read moreJun 1, 2015
The latest incident involves Facebook's algorithmic content moderation system failing to identify terrorist content in East African language...
Read moreMay 19, 2015
The YouTube Kids app, a product of Google, has been found to present children with disturbing and inappropriate videos due to the platform's...
Read moreMay 1, 2015
This AI incident highlights the importance of transparent data practices in AI governance. A class-action lawsuit accuses Google of failing...
Read moreApr 4, 2015
Google Image search data reveals under-representation of women in leadership roles, with the first female 'CEO' image being a Barbie doll am...
Read moreApr 1, 2015
Waze, aiming to reduce travel times, has been accused of causing increased traffic and directing drivers towards unsafe, often unauthorized...
Read moreMar 24, 2015
Facebook's 'On This Day' algorithm inadvertently revisited unwelcome and emotionally charged personal memories, underscoring the importance...
Read moreMar 1, 2015
The UK Home Office's sham marriage detection algorithm has been reported to flag certain nationalities at a higher rate, sparking concerns a...
Read moreMar 1, 2015
The UK Home Office's algorithm for assessing visa application risks has allegedly taken nationality into explicit account, potentially leadi...
Read moreMar 1, 2015
A study by Consumers International revealed Tinder's personalized pricing algorithm might be ageist, charging older users higher prices. Thi...
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.
