HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

False Matching of U.S. Congress Members by Amazon's Facial Recognition System: An Important AI Incident for Responsible AI Governance

This AI incident involving Amazon's facial recognition system, which falsely matched 28 members of the U.S. Congress with mugshots, highlights the need for safeguards in AI. This incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Ready to help establish guardrails for AI and ensure safe and secure AI development? 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.