In this report, the authors propose a heuristic with two dimensions--consent status and comparison type--to determine levels of privacy and accuracy in face recognition technologies. They also identify privacy and bias concerns.
Face recognition technologies (FRTs) have many practical security-related purposes, but advocacy groups and individuals have expressed apprehensions about their use. This report highlights the high-level privacy and bias implications of FRT systems. The authors propose a heuristic with two dimensions -- consent status and comparison type -- to help determine a proposed FRT's level of privacy and accuracy. They also identify privacy and bias concerns.
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