Domain Shift and Emerging Questions in Facial Recognition Technology
This policy brief offers recommendations to policymakers relating to the computational and human sides of facial recognition technologies based on a May 2020 workshop with leading computer scientists, legal scholars, and representatives from industry, government, and civil society
The Stanford HAI policy brief discusses the significant challenges and risks associated with facial recognition technology (FRT), including domain shift, racial bias, and discrepancies between laboratory and real-world performance.
It advocates for increased transparency, rigorous in-domain testing, ongoing recertification, and A/B testing to evaluate human decision-making impacts, and supports a moratorium on government and police use of FRT until robust evaluation frameworks are in place.
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