Struggles in Facial Recognition: A Case Study on Algorithms Identifying Black Faces
This case study highlights the challenges faced by the best algorithms in recognizing black faces, emphasizing the importance of responsible AI and AI governance. The incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Ready to help promote harm prevention and establish guardrails for AI? JOIN US
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/108
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.