False Matches by Amazon's Facial Recognition Highlight Need for Responsible AI Governance
A recent incident involving Amazon's facial recognition technology falsely matching 28 members of Congress with mugshots demonstrates the urgency of trustworthy AI. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). If you are ready to help shape safe and secure AI, consider joining our community JOIN US.
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.