Misuse of Amazon's Rekognition Highlights Need for Trustworthy AI: The Govern Function in Project Cerebellum
July 26, 2018
Amazon's Rekognition face comparison feature was found to misidentify members of Congress, particularly those of color, as individuals with arrest records from a mugshot database. This underscores the importance of trustworthy AI and the role of Project Cerebellium in establishing guardrails for AI. Ready to help shape responsible AI? JOIN US
- Alleged deployer
- amazon
- Alleged developer
- amazon
- Alleged harmed parties
- rekognition-users, arrested-people
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/114
Data 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.