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Face Recognition Technologies
Face Recognition Technologies
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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.
  • Leidėjas:
  • Metai: 2020
  • Puslapiai: 86
  • ISBN-10: 1977404553
  • ISBN-13: 9781977404558
  • Formatas: 15.2 x 22.9 x 0.5 cm, minkšti viršeliai
  • Kalba: Anglų

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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.

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  • Autorius: Douglas Yeung
  • Leidėjas:
  • Metai: 2020
  • Puslapiai: 86
  • ISBN-10: 1977404553
  • ISBN-13: 9781977404558
  • Formatas: 15.2 x 22.9 x 0.5 cm, minkšti viršeliai
  • Kalba: Anglų

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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