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

By: (Author) Carlos Ignacio Gutierrez Gaviria , (Author) Douglas Yeung , (Author) Rebecca Balebako

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Ksh 3,600.00

Format: Paperback or Softback

ISBN-10: 1977404553

ISBN-13: 9781977404558

Publisher: RAND

Imprint: RAND

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Jun 30th, 2020

Print length: 86 Pages

Product Classification: Police & security services
Central government policies
Warfare & defence
Human rights & civil liberties law
Privacy law

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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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