Suggested Citation: "Front Matter." National Academies of Sciences, Engineering, and Medicine. 2024. Facial Recognition Technology: Current Capabilities, Future Prospects, and Governance. Washington, DC: The National Academies Press. doi: 10.17226/27397.

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Consensus Study Report

Suggested Citation: "Front Matter." National Academies of Sciences, Engineering, and Medicine. 2024. Facial Recognition Technology: Current Capabilities, Future Prospects, and Governance. Washington, DC: The National Academies Press. doi: 10.17226/27397.

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This activity was supported by the Department of Homeland Security (DHS) through contract number 70RSAT21G00000003/70RDAD21FR0000159 with the National Academy of Sciences and by the Federal Bureau of Investigation with the assistance of DHS. Any opinions, findings, conclusions, or recommendations expressed in this publication do not necessarily reflect the views of any organization or agency that provided support for the project.

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Suggested citation: National Academies of Sciences, Engineering, and Medicine. 2024. Facial Recognition Technology: Current Capabilities, Future Prospects, and Governance. Washington, DC: The National Academies Press. https://doi.org/10.17226/27397.

Suggested Citation: "Front Matter." National Academies of Sciences, Engineering, and Medicine. 2024. Facial Recognition Technology: Current Capabilities, Future Prospects, and Governance. Washington, DC: The National Academies Press. doi: 10.17226/27397.

The National Academy of Sciences was established in 1863 by an Act of Congress, signed by President Lincoln, as a private, nongovernmental institution to advise the nation on issues related to science and technology. Members are elected by their peers for outstanding contributions to research. Dr. Marcia McNutt is president.

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Suggested Citation: "Front Matter." National Academies of Sciences, Engineering, and Medicine. 2024. Facial Recognition Technology: Current Capabilities, Future Prospects, and Governance. Washington, DC: The National Academies Press. doi: 10.17226/27397.

Consensus Study Reports published by the National Academies of Sciences, Engineering, and Medicine document the evidence-based consensus on the study’s statement of task by an authoring committee of experts. Reports typically include findings, conclusions, and recommendations based on information gathered by the committee and the committee’s deliberations. Each report has been subjected to a rigorous and independent peer-review process and it represents the position of the National Academies on the statement of task.

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Suggested Citation: "Front Matter." National Academies of Sciences, Engineering, and Medicine. 2024. Facial Recognition Technology: Current Capabilities, Future Prospects, and Governance. Washington, DC: The National Academies Press. doi: 10.17226/27397.

COMMITTEE ON FACIAL RECOGNITION:
CURRENT CAPABILITIES, FUTURE PROSPECTS, AND GOVERNANCE

EDWARD W. FELTEN (NAE), Princeton University, Co-Chair

JENNIFER L. MNOOKIN, University of Wisconsin–Madison, Co-Chair

THOMAS D. ALBRIGHT (NAS), Salk Institute for Biological Studies

RICARDO BAEZA-YATES, Northeastern University

BOB BLAKLEY, Team8

PATRICK GROTHER, National Institute of Standards and Technology

MARVIN B. HAIMAN, Metropolitan Police Department, Washington, DC

AZIZ Z. HUQ, University of Chicago

ANIL K. JAIN (NAE), Michigan State University

ELIZABETH E. JOH, University of California, Davis

MICHAEL C. KING, Florida Institute of Technology

NICOL TURNER LEE, The Brookings Institution

IRA S. REESE, Global Security and Innovative Strategies

CYNTHIA RUDIN, Duke University

Study Staff

BRENDAN ROACH, Program Officer, Computer Science and Telecommunications Board (CSTB) (through December 31, 2023)

JON K. EISENBERG, Senior Board Director, CSTB

STEVEN KENDALL, Senior Program Officer, Committee on Science, Technology, and Law

GABRIELLE M. RISICA, Program Officer, CSTB

EMILY BACKES, Deputy Board Director, Committee on Law and Justice

SHENAE A. BRADLEY, Administrative Assistant, CSTB

______________

NOTE: See Appendix D, Disclosure of Unavoidable Conflict of Interest.

Suggested Citation: "Front Matter." National Academies of Sciences, Engineering, and Medicine. 2024. Facial Recognition Technology: Current Capabilities, Future Prospects, and Governance. Washington, DC: The National Academies Press. doi: 10.17226/27397.

COMPUTER SCIENCE AND TELECOMMUNICATIONS BOARD

LAURA HAAS (NAE), University of Massachusetts Amherst, Chair

DAVID DANKS, University of California, San Diego

CHARLES ISBELL, University of Wisconsin–Madison

ECE KAMAR, Microsoft Research

JAMES F. KUROSE (NAE), University of Massachusetts Amherst

DAVID LUEBKE, NVIDIA

JOHN L. MANFERDELLI, Independent Consultant, San Francisco, California, Ex Officio

DAWN C. MEYERRIECKS, MITRE Corporation

WILLIAM L. SCHERLIS, Carnegie Mellon University

HENNING SCHULZRINNE, Columbia University

NAMBIRAJAN SESHADRI (NAE), University of California, San Diego

KENNETH E. WASHINGTON, Medtronic

Staff

JON K. EISENBERG, Senior Board Director

SHENAE A. BRADLEY, Administrative Assistant

RENEE HAWKINS, Finance Business Partner

THƠ H. NGUYỄN, Senior Program Officer

GABRIELLE M. RISICA, Program Officer

BRENDAN ROACH, Program Officer

NNEKA UDEAGBALA, Associate Program Officer

Suggested Citation: "Front Matter." National Academies of Sciences, Engineering, and Medicine. 2024. Facial Recognition Technology: Current Capabilities, Future Prospects, and Governance. Washington, DC: The National Academies Press. doi: 10.17226/27397.

COMMITTEE ON SCIENCE, TECHNOLOGY, AND LAW

MARTHA MINOW, Harvard Law School, Co-Chair

HAROLD VARMUS (NAS/NAM), Weill Cornell Medicine, Co-Chair

DAVID APATOFF, Arnold and Porter

ERWIN CHEMERINSKY, University of California, Berkeley, School of Law

ELLEN WRIGHT CLAYTON (NAM), Vanderbilt University Medical Center

JOHN S. COOKE, Federal Judicial Center, Ex Officio

JENNIFER EBERHARDT (NAS), Stanford University

KENNETH C. FRAZIER, Merck & Co., Inc.

CAROL W. GREIDER (NAS/NAM), University of California, Santa Cruz

STEVEN E. HYMAN (NAM), Harvard University

BARBARA McGAREY, Department of Health and Human Services (Retired)

ERNEST J. MONIZ, Massachusetts Institute of Technology

KIMANI PAUL-EMILE, Fordham University

K. SABEEL RAHMAN, Brooklyn Law School

NATALIE RAM, University of Maryland Francis King Carey School of Law

JULIE ROBINSON, U.S. District Court for the District of Kansas

PATTI B. SARIS, U.S. District Court for the District of Massachusetts

VICKI L. SATO, Denali Therapeutics and VIR Biotechnology, Inc.

BARBARA A. SCHAAL (NAS), Washington University in St. Louis

JOSHUA M. SHARFSTEIN (NAM), Johns Hopkins Bloomberg School of Public Health

CLIFFORD J. TABIN (NAS), Harvard Medical School

Staff

ANNE-MARIE MAZZA, Senior Director

STEVEN KENDALL, Senior Program Officer

RENEE DALY, Senior Program Assistant

Page viii Cite
Suggested Citation: "Front Matter." National Academies of Sciences, Engineering, and Medicine. 2024. Facial Recognition Technology: Current Capabilities, Future Prospects, and Governance. Washington, DC: The National Academies Press. doi: 10.17226/27397.

COMMITTEE ON LAW AND JUSTICE

ROBERT D. CRUTCHFIELD, University of Washington, Chair

SALLY S. SIMPSON, University of Maryland, Vice Chair

ROD K. BRUNSON, University of Maryland

PREETI CHAUHAN, John Jay College of Criminal Justice

CYNTHIA LUM, George Mason University

JOHN M. MacDONALD, University of Pennsylvania

KAREN MATHIS, University of Colorado Boulder

THOEDORE A. McKEE, U.S. Court of Appeals for the Third Circuit

SAMUEL L. MYERS, JR., University of Minnesota

EMILY OWENS, University of California, Irvine

LAURIE O. ROBINSON, George Mason University, Consultant

ADDIE ROLNICK, University of Nevada, Las Vegas

WILLIAM J. SABOL, Georgia State University

VINCENT SCHIRALDI, Maryland Department of Juvenile Services

EMILY WANG, Yale School of Medicine

Staff

NATACHA BLAIN, Senior Board/Program Director

EMILY BACKES, Deputy Board Director

ABIGAIL ALLEN, Associate Program Officer

JULIE SCHUCK, Program Officer

STACEY SMIT, Program Coordinator

Suggested Citation: "Front Matter." National Academies of Sciences, Engineering, and Medicine. 2024. Facial Recognition Technology: Current Capabilities, Future Prospects, and Governance. Washington, DC: The National Academies Press. doi: 10.17226/27397.

Reviewers

This Consensus Study Report was reviewed in draft form by individuals chosen for their diverse perspectives and technical expertise. The purpose of this independent review is to provide candid and critical comments that will assist the National Academies of Sciences, Engineering, and Medicine in making each published report as sound as possible and to ensure that it meets the institutional standards for quality, objectivity, evidence, and responsiveness to the study charge. The review comments and draft manuscript remain confidential to protect the integrity of the deliberative process.

We thank the following individuals for their review of this report:

Although the reviewers listed above provided many constructive comments and suggestions, they were not asked to endorse the conclusions or recommendations of this report, nor did they see the final draft before its release. The review of this report was overseen by ROBERT F. SPROULL (NAE), University of Massachusetts Amherst, and JONATHAN D. MORENO (NAM), University of Pennsylvania Health System. They were

Suggested Citation: "Front Matter." National Academies of Sciences, Engineering, and Medicine. 2024. Facial Recognition Technology: Current Capabilities, Future Prospects, and Governance. Washington, DC: The National Academies Press. doi: 10.17226/27397.

responsible for making certain that an independent examination of this report was carried out in accordance with the standards of the National Academies and that all review comments were carefully considered. Responsibility for the final content rests entirely with the authoring committee and the National Academies.

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Suggested Citation: "Front Matter." National Academies of Sciences, Engineering, and Medicine. 2024. Facial Recognition Technology: Current Capabilities, Future Prospects, and Governance. Washington, DC: The National Academies Press. doi: 10.17226/27397.

Preface

Facial recognition technology (FRT) is an increasingly prevalent tool for automated identification and identity verification. The use of FRT in a wide and growing variety of contexts has brought into increasing focus both the potential benefits of using FRT and concerns about impacts on equity, privacy, and civil liberties. In 2021, the Department of Homeland Security requested that the National Academies of Sciences, Engineering, and Medicine conduct a study that considers current capabilities, future possibilities, societal implications, and governance of FRT. The Federal Bureau of Investigation (FBI) joined as a formal sponsor of the study in March 2023.

The National Academies established the Committee on Facial Recognition: Current Capabilities, Future Prospects, and Governance to conduct this study (for biographical information, see Appendix C). The study addresses current use cases; explains how facial recognition technologies operate; and examines the legal, social, and ethical issues implicated by their use. The full statement of task for the committee is shown in Appendix A.

The committee met in person in July 2022 and February 2023 and met virtually 16 times to receive briefings from experts and stakeholders (for a list of presentations, see Appendix B), review relevant reports and technical literature, deliberate, and develop this report.

Suggested Citation: "Front Matter." National Academies of Sciences, Engineering, and Medicine. 2024. Facial Recognition Technology: Current Capabilities, Future Prospects, and Governance. Washington, DC: The National Academies Press. doi: 10.17226/27397.

The committee would like to thank the Department of Homeland Security’s Office of Biometric Identity Management (OBIM) and the FBI for their sponsorship of this study. It would also like to thank James L. Wayman, a member of the scientific staff in OBIM, and Richard W. Vorder Bruegge, a senior physical scientist at the FBI, who served as technical liaisons with the study. Last, the committee would like to acknowledge the assistance throughout the study of the following National Academies’ staff: Brendan Roach, Steven Kendall, Gabrielle Risica, Shenae Bradley, Emily Backes, and Jon Eisenberg.

Suggested Citation: "Front Matter." National Academies of Sciences, Engineering, and Medicine. 2024. Facial Recognition Technology: Current Capabilities, Future Prospects, and Governance. Washington, DC: The National Academies Press. doi: 10.17226/27397.
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Suggested Citation: "Front Matter." National Academies of Sciences, Engineering, and Medicine. 2024. Facial Recognition Technology: Current Capabilities, Future Prospects, and Governance. Washington, DC: The National Academies Press. doi: 10.17226/27397.
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Suggested Citation: "Front Matter." National Academies of Sciences, Engineering, and Medicine. 2024. Facial Recognition Technology: Current Capabilities, Future Prospects, and Governance. Washington, DC: The National Academies Press. doi: 10.17226/27397.
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Next Chapter: Summary
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