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Facial Recognition Technology : Current Capabilities, Future Prospects, and Governance.

EBSCOhost Academic eBook Collection (North America) Available online

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National Academies Press Available online

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Format:
Book
Contributor:
National Academies of Sciences, Engineering, and Medicine
Division of Behavioral and Social Sciences and Education
Policy and Global Affairs
Division on Engineering and Physical Sciences
Committee on Law and Justice
Committee on Science, Technology, and Law
Computer Science and Telecommunications Board
Committee on Facial Recognition: Current Capabilities, Future Prospects, and Governance
Series:
Law and Justice Series
Language:
English
Subjects (All):
Human face recognition (Computer science).
Technology and law.
Physical Description:
1 online resource (161 pages)
Edition:
1st ed.
Place of Publication:
Washington, D.C. : National Academies Press, 2024.
Summary:
This publication by the National Academies of Sciences, Engineering, and Medicine examines the current capabilities, future prospects, and governance of facial recognition technology. It is a consensus study report that provides an objective analysis of the technology's applications, implications, and the ethical and legal frameworks surrounding its use. The book is intended for policymakers, researchers, and professionals in technology, law, and social sciences, aiming to inform public policy decisions and highlight the need for responsible governance of facial recognition systems. Generated by AI.
Contents:
Front Matter
Reviewers
Contents
Preface
Summary
1 Introduction
2 Facial Recognition Technology
3 Use Cases
4 Equity, Privacy, Civil Liberties, Human Rights, and Governance
5 Conclusions and Recommendations
Appendixes
Appendix A: Statement of Task
Appendix B: Presentations to the Committee
Appendix C: Committee Member Biographical Information
Appendix D: Disclosure of Unavoidable Conflict Generated by AI.
Notes:
Description based on publisher supplied metadata and other sources.
Part of the metadata in this record was created by AI, based on the text of the resource.
ISBN:
0-309-71321-8
OCLC:
1428258033

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