HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

False Matches by Amazon's Facial Recognition Raise AI Concerns - Harm Prevention in AI Governance

This AI incident, involving mistaken matches of 28 Congress members with mugshots by Amazon's facial recognition system, underscores the need for responsible and trustworthy AI. Learn more about how Project Cerebellum, an initiative focused on AI governance and safe and secure AI, is working towards harm prevention in the development and deployment of AI systems. JOIN US This incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM).

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.