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- Author: Douglas Yeung
- Publisher: RAND Corporation
- Year: 2020
- Pages: 86
- ISBN-10: 1977404553
- ISBN-13: 9781977404558
- Format: 15.2 x 22.9 x 0.5 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
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Description
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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- Author: Douglas Yeung
- Publisher: RAND Corporation
- Year: 2020
- Pages: 86
- ISBN-10: 1977404553
- ISBN-13: 9781977404558
- Format: 15.2 x 22.9 x 0.5 cm, softcover
- Language: English English
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.
Reviews