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

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

Douglas Yeung , Rebecca Balebako , Carlos Ignacio Gutierrez Gaviria
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Jun 30, 2020 · Английский · Мягкая обложка (86 страницы)
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Детали книги

Формат Мягкая обложка
Страницы 86
Язык Английский
Опубликовано Jun 30, 2020
Издатель RAND Corporation
ISBN-10 1977404553
ISBN-13 9781977404558

Описание

Facial recognition technologies have become increasingly prevalent, raising essential questions about privacy and bias. The authors explore the delicate balance between leveraging such technologies for security and respecting personal privacy rights. They delve into the implications of FRTs on society, revealing how these systems can inadvertently reinforce biases, affecting marginalized communities disproportionately.

Through a comprehensive analysis, the authors highlight the urgent need for designing ethical frameworks that protect individuals while ensuring the effective use of technology. Their insights provoke critical discussions on accountability, transparency, and the ethical responsibilities of developers in this rapidly evolving field.

As they navigate the complexities of face recognition in real-world applications, the book serves as a crucial resource for policymakers, technologists, and advocates alike, pushing the conversation towards more equitable and just implementations of technology.
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