Face Recognition Technologies: Designing Systems that Protect Privacy and Prevent Bias

Face Recognition Technologies: Designing Systems that Protect Privacy and Prevent Bias

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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.