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Facial Recognition Technology: Current Capabilities, Future Prospects, and Governance (2024)

Chapter: Appendix C: Committee Member Biographical Information

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Suggested Citation:"Appendix C: Committee Member Biographical Information." 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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C

Committee Member Biographical Information

EDWARD W. FELTEN, Co-Chair, is the Robert E. Kahn Professor of Computer Science and Public Affairs, Emeritus, at Princeton University and was the founding director of Princeton’s Center for Information Technology Policy, a cross-disciplinary effort studying digital technologies in public life. Dr. Felten is also the co-founder and chief scientist at Offchain Labs, Inc., and he is a member of the U.S. Privacy and Civil Liberties Oversight Board. From 2015 to 2017, Dr. Felten served on the White House staff as Deputy United States Chief Technology Officer. His research interests include blockchain and cryptocurrency technologies, computer security and privacy, and technology law and policy. He has published more than 150 papers in the research literature and 2 books. His research on topics such as Web security, copyright and copy protection, and electronic voting has been covered extensively in the popular press. Dr. Felten is a member of the American Academy of Arts & Sciences and a fellow of the Association for Computing Machinery (ACM). He has testified at House and Senate committee hearings on privacy, electronic voting, digital television, and artificial intelligence (AI). Among his committee service at the National Academies of Sciences, Engineering, and Medicine, Dr. Felten served on the Committee on Directions for the AFOSR Mathematics and Space Sciences Directorate Related to Information Science and Technology (2005) and the Committee on the Fundamentals of Computer Science: Challenges and Opportunities (2000–2005). He earned a PhD in computer science and engineering from the University of Washington. Dr. Felten served in an uncompensated advisory role for the Center for Democracy and Technology from 2017 to 2019.

Suggested Citation:"Appendix C: Committee Member Biographical Information." 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.
×

JENNIFER L. MNOOKIN, Co-Chair, is the chancellor of the University of Wisconsin–Madison. Before that, she was Ralph and Shirley Shapiro Professor of Law, a member of the University of California, Los Angeles (UCLA), School of Law faculty, and the dean of the UCLA School of Law. Dr. Mnookin is a leading evidence scholar and among the most highly cited law faculty in her field. She has been a co-author of two major evidence treatises, “The New Wigmore, A Treatise on Evidence: Expert Evidence” and “Modern Scientific Evidence: The Law and Science of Expert Testimony” and has published extensively on issues relating to evidence, expertise, and the use of specialized knowledge in the lay adjudicatory system. In 2020, Dr. Mnookin was elected to the American Academy of Arts & Sciences. She served for 6 years on the National Academies of Sciences, Engineering, and Medicine’s Committee on Science, Technology, and Law (2014–2020). She co-chaired a group of senior advisors for a President’s Council of Advisors on Science and Technology report on the use of forensic science in criminal courts, and currently serves on the board of the Law School Admissions Council. Prior to joining the UCLA School of Law, Dr. Mnookin was a professor of law and the Barron F. Black Research Professor at the University of Virginia School of Law and a visiting professor of law at Harvard Law School. She received her AB from Harvard University, her JD from Yale Law School, and a PhD in history and social study of science and technology from the Massachusetts Institute of Technology. Dr. Mnookin also serves on the non-governing, uncompensated advisory board of the Electronic Privacy Information Center (EPIC).

THOMAS D. ALBRIGHT is a professor and the Conrad T. Prebys Chair at the Salk Institute for Biological Studies. Dr. Albright is an authority on the neural basis of visual perception, memory, and visually guided behavior. His laboratory seeks to understand how visual perception is affected by attention, behavioral goals, and memories of previous experiences. An important goal of this work is the development of therapies for blindness and perceptual impairments resulting from disease, trauma, or developmental disorders of the brain. A second aim of Dr. Albright’s work is to use our growing knowledge of brain, perception, and memory to inform design in architecture and the arts, to leverage societal decisions and public policy, and to advise on matters of law and justice. He is a fellow of the American Academy of Arts & Sciences and a fellow of the American Association for the Advancement of Science. Dr. Albright served on the National Academies’ Committee on Science, Technology, and Law and on the National Commission on Forensic Science, an advisory body to the Department of Justice. Dr. Albright is currently a member of the Human Factors Resource Committee of the National Institute of Standards and Technology’s (NIST’s) Organization of Scientific Area Committees for Forensic Science. He served as the co-chair of the National Academies’ Committee on Scientific Approaches to Eyewitness Identification, which produced the 2014 consensus

Suggested Citation:"Appendix C: Committee Member Biographical Information." 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.
×

study report Identifying the Culprit: Assessing Eyewitness Identification. Dr. Albright received a PhD in psychology and neuroscience from Princeton University.

RICARDO BAEZA-YATES is the director of research at the Institute for Experiential Artificial Intelligence at Northeastern University. Dr. Baeza-Yates came to Northeastern after his role as the chief technology officer of NTENT, a semantic search technology company based in California. Prior to these roles, he was the vice president of research at Yahoo Labs, based in Sunnyvale, California, from 2014 to 2016. Before joining Yahoo Labs in California, he founded and led the Yahoo Labs in Barcelona, Spain, and Santiago, Chile, from 2006 to 2015. Between 2008 and 2012, he oversaw Yahoo Labs in Haifa, Israel, and started the London laboratory in 2012. Dr. Baeza-Yates is a part-time professor in the Department of Information and Communication Technologies at the Universitat Pompeu Fabra in Barcelona, and in the Department of Computing Science at the Universidad de Chile in Santiago. In 2005, he was an ICREA research professor at the Universitat Pompeu Fabra. Until 2004, he was a professor and the founding director of the Center for Web Research at the Universidad de Chile. Additionally, he is a co-author of the best-selling textbook Modern Information Retrieval (1999), with a second enlarged edition in 2011 that won the ASIST 2012 Book of the Year award. He is also a co-author of the second edition of the Handbook of Algorithms and Data Structures (1991) and a co-editor of Information Retrieval: Algorithms and Data Structures (1992), among more than 600 publications. From 2002 to 2004, he was elected to the board of governors of the Institute of Electrical and Electronics Engineers (IEEE) Computer Society, as well as to the ACM Council from 2012 to 2016. Dr. Baeza-Yates has received the Organization of American States award for young researchers in exact sciences, the Graham Medal for innovation in computing given by the University of Waterloo, Canada, to distinguished alumni, the CLEI Latin American distinction for contributions to computer science in the region, and the National Award of the Chilean Association of Engineers, among other distinctions. In 2003, he was the first computer scientist to be elected to the Chilean Academy of Sciences and, since 2010, is a founding member of the Chilean Academy of Engineering. In 2009, he was named an ACM fellow and, in 2011, an IEEE fellow. Dr. Baeza-Yates received his PhD in computer science from the University of Waterloo. He served on the ACM Technology Policy Council when it issued a June 2020 statement urging the suspension of the use of facial recognition systems.

ROBERT BLAKLEY is an operating partner at Team8. He was previously the global director of information security innovation at Citi. Dr. Blakley co-hosts the IEEE podcast “Over the Rainbow: 21st Century Security and Privacy.” He recently served as a member of the National Academies’ Committee on Technical Assessment of the Feasibility and

Suggested Citation:"Appendix C: Committee Member Biographical Information." 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.
×

Implications of Quantum Computing and as a member of the National Academies’ Forum on Cyber Resilience. Dr. Blakley has served as the plenary chair of the National Strategy for Trusted Identities in Cyberspace Identity Ecosystem Steering Group and as the research and development co-chair of the Financial Services Sector Coordinating Council for Critical Infrastructure Protection and Homeland Security and was the general editor of the OASIS SAML specification. Prior to joining Citi, Dr. Blakley was the distinguished analyst and agenda manager for identity and privacy at Gartner and Burton Group. Before that, he was the chief scientist for security and privacy at IBM. He is the past general chair of the IEEE Security and Privacy Symposium and the Applied Computer Security Associates New Security Paradigms workshop. He was awarded the Annual Computer Security Applications Conference’s Distinguished Security Practitioner award in 2002 and is a frequent speaker at information security and computer industry events. Dr. Blakley received an AB in classics from Princeton University and an MS and a PhD in computer and communications science from the University of Michigan.

PATRICK GROTHER is a scientist in the Information Technology Laboratory at NIST, a division of the Department of Commerce. Mr. Grother is responsible for biometric standards and technology evaluation at NIST and leads its Face Recognition Vendor Test program, the world’s largest independent public testing program of face recognition algorithms. He co-chairs NIST’s biannual International Face Performance Conference on measurement, metrics, and certification and assists several U.S. government agencies in biometrics performance assessment and standardization. Since 2018, Mr. Grother has served as the chair of the ISO/IEC/JTC 1 Subcommittee 37 on Biometrics, where he is the editor of five international standards. He is a three-time recipient of the Department of Commerce Gold Medal award for service to U.S. industry. Mr. Grother has an MS in computer science from Imperial College London.

MARVIN B. HAIMAN serves as the chief of staff for the Metropolitan Police Department, Washington, DC. In this capacity, Mr. Haiman oversees daily operations of the Executive Office of the Chief of Police and is responsible for broad agency management and implementing strategic agency objectives. He is also responsible for several organizational units, including the Office of Communications, Office of General Counsel, and Professional Development Bureau. Mr. Haiman served as the executive director of the Professional Development Bureau from 2017 to 2021, leading recruiting, training, human resources, discipline, promotional processes, equal employment opportunity, and volunteer services functions. Prior to being named the executive director, from 2015 to 2017, Mr. Haiman served in a variety of capacities, including developing the agency’s Office of Volunteer Coordination, serving as the chief of staff for the Technical Services

Suggested Citation:"Appendix C: Committee Member Biographical Information." 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.
×

Division tasked with a broad range of information technology operations. Before returning to the Metropolitan Police Department, he served as the director for the Homeland Security Advisory Council for the Department of Homeland Security, establishing several key task forces for the Secretary. Mr. Haiman is also a graduate of the Naval Postgraduate School Center for Homeland Defense and the Security’s Executive Leadership Program. He was recognized by the International Association of Chiefs of Police in 2020 as a 40 under 40 recipient and received the prestigious Gary P. Hayes Award from the Police Executive Research Forum. Mr. Haiman also graduated from the Metropolitan Police Academy and served as a reserve police officer with the Metropolitan Police Department. He graduated from Johns Hopkins University with a master’s degree in management through the Police Executive Leadership Program, has an undergraduate degree in mathematics from The University of Iowa, and has earned certifications in public management and strategic project management from The George Washington University.

AZIZ Z. HUQ is a scholar of U.S. and comparative constitutional law at The University of Chicago. Mr. Huq works on topics ranging from democratic backsliding to regulating AI. His award-winning scholarly work is published in several books and in leading law reviews, social science journals, and political science journals. He has also written for The Washington Post, The New York Times, Dissent, The Nation, and many other nonspecialist publications. In 2015, he received the Graduating Students Award for Teaching Excellence. Mr. Huq has an active pro bono practice and is on the board of the American Constitution Society, the New Press, and the American Civil Liberties Union (ACLU) of Illinois. Before joining the Law School faculty, he worked as the counsel and then director of the Brennan Center’s Liberty and National Security Project, litigating cases in both the U.S. Court of Appeals and the Supreme Court. As a senior consultant analyst for the International Crisis Group, he researched and wrote on constitutional design and implementation in Pakistan, Nepal, Afghanistan, and Sri Lanka. Mr. Huq was a law clerk for Judge Robert D. Sack of the U.S. Court of Appeals for the Second Circuit and then for Justice Ruth Bader Ginsburg of the Supreme Court of the United States. He is also a 1996 summa cum laude graduate of the University of North Carolina at Chapel Hill and a 2001 graduate with a JD from Columbia Law School, where he was awarded the John Ordronaux Prize (for the student graduating first in their class). He has served as an uncompensated board member of the ACLU of Illinois since 2018 and an uncompensated board member of the American Constitution Society since 2019. Mr. Huq’s writings on issues relevant to facial recognition include “The Public Trust in Data,” Georgetown Law Journal (2021); “Privacy’s Political Economy and the State of Machine Learning: An Essay in Honor of Stephen J. Schulhofer,” NYU Annual Survey of American Law (2021; co-authored with Mariano-Florentino Cuéllar); “Constitutional Rights in the Machine

Suggested Citation:"Appendix C: Committee Member Biographical Information." 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.
×

Learning State,” Cornell Law Review (2020); and “Racial Equity in Algorithmic Criminal Justice,” in the Duke Law Journal (2019).

ANIL K. JAIN is a University Distinguished Professor at Michigan State University, where he conducts research in pattern recognition, computer vision, and biometrics recognition. He served as a member of the Defense Science Board and the Forensics Science Standards Board. Dr. Jain received Guggenheim, Humboldt, and Fulbright fellowships and the King-Sun Fu Prize. He was the editor-in-chief of IEEE Transactions on Pattern Analysis and Machine Intelligence and is a fellow of ACM and IEEE. For advancing pattern recognition and biometrics, Dr. Jain was awarded Doctor Honoris Causa by Universidad Autónoma de Madrid and Hong Kong University of Science and Technology. Dr. Jain received his PhD in electrical engineering from The Ohio State University.

ELIZABETH E. JOH is a professor of law at the University of California, Davis, School of Law. Dr. Joh researches and writes primarily in the areas of policing, surveillance, and technology. Her work in this area focuses on the impacts of new technologies on democratic policing and its effects on privacy and civil liberties. She has written in nationally prominent law journals and in publications including The New York Times, Slate, and the Los Angeles Times. Dr. Joh is an elected member of the American Law Institute, a faculty advisory board member of the University of California CITRIS Policy Lab, an affiliate scholar with Stanford University’s Center for Internet and Society, and served on the University of California Presidential Working Group on Artificial Intelligence. Dr. Joh received her JD and PhD in law and society from New York University. She has served as an uncompensated advisory board member of EPIC since 2019. Dr. Joh’s previous writings on issues related to the committee’s work include “The Corporate Shadow in Public Policing,” Science (2021); “Increasing Automation in Policing,” Communications of the ACM (2020); and “Police Surveillance Machines: A Short History,” Law and Political Economy (2018).

MICHAEL C. KING is an associate professor in the Department of Electrical Engineering and Computer Science and a research scientist for the L3-Harris Institute for Assured Information at the Florida Institute of Technology and has served in this role since 2015. Before joining academia, Dr. King served 14 years as a scientific research/program management professional in the U.S. Intelligence Community. While in government, Dr. King created and managed research portfolios covering a broad range of topics related to biometrics and identity. He crafted and successfully led the Intelligence Advanced Research Projects Activity’s Biometric Exploitation Science and Technology Program to transition technology deliverables to more than 40 government organizations. As a

Suggested Citation:"Appendix C: Committee Member Biographical Information." 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.
×

subject-matter expert in biometrics and identity intelligence, Dr. King has been invited to brief the director of National Intelligence, congressional staffers and science advisers, the Defense Science Board, the Army Science Board, and the Intelligence Science Board. He also served as Intelligence Community Department Lead to the White House Office of Science and Technology Policy’s National Science and Technology Council Subcommittee on Biometrics and Identity Management. Additionally, Dr. King worked for the National Security Agency as the technical director in the Research Directorate’s Human Interface Security Research Focus Area. Dr. King’s final government appointment was as the director of applied research and innovation in the Directorate of Science and Technology’s Office of Technical Services at the Central Intelligence Agency. In this role, he was responsible for leading a team of scientists in the delivery of advanced capabilities in cyber, identity intelligence, and special communication systems. Dr. King received his PhD in electrical engineering from North Carolina Agricultural and Technical State University. Dr. King briefly consulted for Idemia-National Security Solutions from January to March 2020. He has spoken on facial recognition at Idemia user conferences in 2017 and 2019, for which his travel was compensated. He has received and evaluated software from Idemia, Rank One Computing, and Cyberextruder, for which he received no compensation.

NICOL TURNER LEE is a senior fellow in governance studies and the director of the Center for Technology Innovation at The Brookings Institution. She also serves as the co-editor-in-chief of TechTank and the co-host of the #TechTank podcast. Dr. Turner Lee’s research explores public policies designed to enable equitable access to technology, especially those that create systemic changes in global communities. Her work focuses on global and domestic broadband deployment, AI, and various Internet governance concerns. Dr. Turner Lee is an expert on the intersection of race, technology, and social justice. She has a forthcoming book on the U.S. digital divide titled Digitally Invisible: How the Internet Is Creating the New Underclass (2024). She has also written various papers and book chapters on inclusive and equitable AI. Currently, she serves as a vice chair of the Federal Communications Commission’s Communications Equity and Diversity Council. Dr. Turner Lee is a graduate of Colgate University magna cum laude and has an MA and a PhD in sociology from Northwestern University. She also holds a certificate in nonprofit management from the University of Illinois Chicago.

IRA REESE is currently the chief technology officer of the Washington, DC–based firm Global Security and Innovative Solutions and consults in the areas of border and sports venue security as well as specific issues regarding international trade. Mr. Reese is an internationally recognized expert in border security and the equipment and software

Suggested Citation:"Appendix C: Committee Member Biographical Information." 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.
×

used to secure borders. He was formerly the Senior Executive Service executive director of laboratories and scientific services of Customs and Border Protection for 16 years and responsible for the management of field laboratories, forensic units, an engineering branch, and the 24×7 Weapons of Mass Destruction (WMD) response center. These units have 350 scientists and engineers specializing in trade issues, development of border security protocols and related equipment procurement, narcotics and human trafficking enforcement, approval of U.S. international pipelines, and licensing of commercial gaugers. During this time, Mr. Reese was the six-times-elected chair (2-year terms) of the World Customs Organization Scientific Sub-Committee, representing 171 countries. He has received the Presidential Award from the American Health Physics Society for the development, deployment, and maintenance of the U.S. Radiation WMD Ports Security Program and is a graduate of the Harvard University Senior Executive Fellows Program. During his time in federal service, Mr. Reese carried Top Secret, Top Secret/SCI, and Q security clearances.

CYNTHIA RUDIN is a professor of computer science and engineering at Duke University and directs the Interpretable Machine Learning Lab. Her goal is to design predictive models that people can understand. Dr. Rudin is the recipient of the 2022 Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity from the Association for the Advancement of Artificial Intelligence (AAAI) (the “Nobel Prize of AI”). She is also a three-time winner of the INFORMS Innovative Applications in Analytics Award and is a 2022 Guggenheim Fellow. Dr. Rudin is a fellow of the American Statistical Association, the Institute of Mathematical Statistics, and AAAI. She has served on three National Academies’ committees, including the Committee on Applied and Theoretical Statistics, the Committee on Law and Justice, and the Committee on Analytic Research Foundations for the Next-Generation Electric Grid. Dr. Rudin received her PhD in applied and computational mathematics from Princeton University. In 2021, she submitted a letter to the White House on the use of AI in criminal justice and co-authored the article “A Truth Serum for Your Personal Perspective on Facial Recognition Software in Law Enforcement” in Translational Criminology.

Suggested Citation:"Appendix C: Committee Member Biographical Information." 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:"Appendix C: Committee Member Biographical Information." 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.
×
Page 139
Suggested Citation:"Appendix C: Committee Member Biographical Information." 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.
×
Page 140
Suggested Citation:"Appendix C: Committee Member Biographical Information." 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:"Appendix C: Committee Member Biographical Information." 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.
×
Page 142
Suggested Citation:"Appendix C: Committee Member Biographical Information." 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.
×
Page 143
Suggested Citation:"Appendix C: Committee Member Biographical Information." 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.
×
Page 144
Suggested Citation:"Appendix C: Committee Member Biographical Information." 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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Facial recognition technology is increasingly used for identity verification and identification, from aiding law enforcement investigations to identifying potential security threats at large venues. However, advances in this technology have outpaced laws and regulations, raising significant concerns related to equity, privacy, and civil liberties.

This report explores the current capabilities, future possibilities, and necessary governance for facial recognition technology. Facial Recognition Technology discusses legal, societal, and ethical implications of the technology, and recommends ways that federal agencies and others developing and deploying the technology can mitigate potential harms and enact more comprehensive safeguards.

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