As directed by Congress, the National AI Advisory Committee will establish a subcommittee to consider matters related to the use of AI in law enforcement. This subcommittee will provide advice to the President on topics that include bias, security of data, the adoptability of AI for security or law enforcement, and legal standards that include those that ensure that AI use is consistent with privacy rights, civil rights and civil liberties, and disability rights. The following experts serve on the NAIAC-LE:
Assistant Chief of Police Armando R. Aguilar is the Miami Police Department’s (MPD) Criminal Investigations Division (CID) Chief. He has held senior management positions in all divisions of the MPD. Assistant Chief Aguilar has implemented offender-focused strategies which have contributed to significant reductions in violent crime and significant increases in case clearance rates. Assistant Chief Aguilar developed the MPD’s facial recognition technology policy, which has been cited as a model by several research organizations and law enforcement agencies for its conscientious approach toward balancing privacy concerns with public safety needs. He also led the expansion of the MPD’s Real Time Crime Center and Crime Gun Intelligence Center, and he is a steering committee member for the University of Chicago’s Policing Leadership Academy.
Assistant Chief Aguilar holds a Master of Public Administration from Barry University and a Bachelor of Arts in Criminal Justice from Saint Leo University. He holds an Executive Certificate in Public Policy from the Harvard Kennedy School of Government, and he is a graduate of the FBI National Academy and the Senior Management Institute for Police. Assistant Chief Aguilar is also a Society for Human Resource Management Senior Certified Professional (SHRM-SCP).
Anthony Bak is Head of AI for Palantir where he works with Palantir customers and product teams and helps set overall AI strategy for the company. At Palantir he founded the AI policy team that engages with US government, civil society groups, and public policy organizations to define policies that ensure safe and effective AI. He also works with the Palantir Privacy and Civil Liberties team to define responsible AI practice for both internal and external stakeholders. Prior to Palantir he led R&D at an AI platform startup. He has held research positions at Stanford University, the American Institute of Mathematics, and the Max Planck Institute for Mathematics. He has a Ph.D. in Mathematics from the University of Pennsylvania and BS in Physics from Haverford College.
Amanda Ballantyne is the Director of the AFL-CIO Technology Institute. Under Amanda’s leadership, the Tech Institute is working closely with unions and worker advocates to educate and engage a broad set of stakeholders on the impacts of AI and related technologies on work and working people. Amanda also focuses on elevating worker voices on practical and ethical implications of AI and machine learning technologies, specifically AI in hiring and performance tracking, algorithmic management, privacy, and worker surveillance issues. Amanda earned her BA from Smith College and her J.D. from the University of Washington School of Law.
Jane Bambauer is a professor of law at the University of Arizona and will soon become the Brechner Eminent Scholar at the University of Florida. Prof. Bambauer teaches and studies the fundamental problems of well-intended technology policies. Prof. Bambauer’s research assesses the social costs and benefits of Big Data, and how new information technologies affect free speech, privacy, and competitive markets. She also serves as the co-deputy director of the Center for Quantum Networks, a multi-institutional engineering research center funded by the National Science Foundation, where she facilitates research on economic and regulatory policy for emerging markets in quantum technologies. Bambauer’s work has been featured in over 20 scholarly publications including the Stanford Law Review, the Michigan Law Review, the California Law Review, and the Journal of Empirical Legal Studies. Her work has also been featured in media outlets including the Washington Post, the New York Times, Fox News, and Lawfare. She holds a B.S. in Mathematics from Yale College and a J.D. from Yale Law School.
Esha Bhandari is deputy director of the American Civil Liberties Union’s Speech, Privacy, and Technology Project, where she works on litigation and advocacy to protect freedom of expression and privacy rights in the digital age. She also focuses on the impact of big data and artificial intelligence on civil liberties. She has litigated cases including Sandvig v. Barr, a First Amendment challenge to the Computer Fraud and Abuse Act on behalf of researchers who test for housing and employment discrimination online, and Alasaad v. Wolf, a constitutional challenge to suspicionless electronic device searches at the U.S. border. Esha was previously an Equal Justice Works fellow with the ACLU Immigrants’ Rights Project, where she litigated cases concerning a right to counsel in immigration proceedings and immigration detainer policies. Esha is also an Adjunct Professor of Clinical Law at New York University School of Law, where she co-teaches the Technology, Law, and Policy Clinic.
Jennifer L. Eberhardt conducts research on racial bias and inequality. In an effort to understand and improve police-community interactions, she leads a large interdisciplinary team of scientists who use machine-learning models and human expertise to systematically analyze police body-worn camera footage. In 1998, she joined the faculty at Stanford University, where she is currently a Professor of Organizational Behavior and Psychology, the Morris M. Doyle Centennial Professor of Public Policy, and a Faculty Director of Stanford SPARQ (a university initiative to use social psychological research to address pressing social problems). Eberhardt has been named a John D. and Catherine T. MacArthur Fellow and one of Foreign Policy’s 100 Leading Global Thinkers. She has been elected to the American Academy of Arts and Sciences, the National Academy of Sciences, the British Academy, and most recently, the American Philosophical Society. Eberhardt is deeply committed to public service and over the years has been invited to speak about her work at the White House, the U.S. Department of Justice, the State of California Department of Justice, the Supreme Court of California, and the California State Capitol, among other places.
Farhang Heydari is an Assistant Professor of Law at Vanderbilt Law School, where he teaches courses on criminal law, criminal procedure, and policing. Prior to joining Vanderbilt Law, Farhang spent several years at the Policing Project at New York University School of Law, serving as the Project’s inaugural Executive Director from 2019 to 2022. While at the Policing Project, he launched several new projects, including ones focused on policing technologies. Farhang began his career as a civil rights attorney at the law firm of Neufeld, Scheck and Brustin, where he represented victims of government misconduct. Farhang has taught courses on civil rights litigation, mass incarceration, and policing at New York University School of Law and Columbia Law School. He is a graduate of Harvard University and Columbia Law.
Benji Hutchinson is currently Chair of the Security Industry Association’s Identity and Biometric Technology Advisory Board. He is President & COO of Paravision, an AI software company specializing in facial recognition and computer vision technologies. Mr. Hutchinson has served in various industry leadership roles overseeing the development and deployment of national and international biometric systems for the Department of Homeland Security, Department of Defense and Department of State. At George Mason University, he was an adjunct professor on policy, privacy, ethics, & law for identity analysis and is currently a Member of the Transition Advisory Board for the Criminal Investigations and Network Analysis Center. He served as a consultant for the Pentagon’s Office of the Under Secretary of Defense for Intelligence and the Army Biometrics Task Force, where he was a technical contributor to the National and International Standards Bodies on Biometrics. He has also testified before Congress on the FBI’s use of facial recognition technology. He served on the Board of Advisors for the International Center for Biometric Research at Purdue University, and Chair of the Board of Directors for the Integrated Justice Information Systems Institute. He holds a BA in International Economics and French, an MA in French, and an MA in International Affairs from the University of Kentucky. He holds executive certificates from the Darden School of Business Administration, University of Virginia, and the Harvard Business School Online.
Rashawn Ray is Vice-President and Executive Director of the AIR Equity Initiative. As a Professor of Sociology at the University of Maryland and Senior Fellow at The Brookings Institution, Ray regularly testifies at the federal and state levels on racial equity, policing and criminal justice reform, health policy, wealth disparities, and family policy. As the Executive Director of the Lab for Applied Social Science Research (LASSR), Ray helped develop a virtual reality training program for law enforcement and led implicit bias trainings with thousands of police officers, military personnel, and employees at companies and organizations.
Ray has published over 50 books, articles, and book chapters, and over 50 op-eds. He has written for Washington Post, New York Times, USA Today, POLITICO, Business Insider, Newsweek, NBC News, The Guardian, The Hill, Huffington Post, and The Conversation. Ray has been awarded the American Association for the Advancement of Science (AAAS) Mani L. Bhaumik Award for Public Engagement with Science, the Public Understanding of Sociology Award from the American Sociological Association, the Morris Rosenberg Award for Outstanding Sociological Achievement from the DC Sociological Society, and the Outstanding Young Alumni Award from Indiana University. He was recently awarded an Andrew Carnegie Fellowship.
Cynthia Rudin is Earl D. McLean, Jr. Professor of Computer Science, Electrical and Computer Engineering, Statistical Science, Mathematics, Biostatistics & Bioinformatics at Duke University. She directs the Interpretable Machine Learning Lab, whose goal is to design predictive models that people can understand. Her lab applies machine learning in many areas, such as healthcare, criminal justice, and energy reliability.
Prof. Rudin holds an undergraduate degree from the University at Buffalo and a PhD from Princeton University. She 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). She is also a three-time winner of the INFORMS Innovative Applications in Analytics Award, and a 2022 Guggenheim Fellow. She is a fellow of the American Statistical Association, the Institute of Mathematical Statistics, and AAAI. Prof. Rudin has served on committees for INFORMS, the American Statistical Association, the National Academies of Sciences, Engineering and Medicine, DARPA, the National Institute of Justice, AAAI, and the Association for Computing Machinery. Her work has been featured in the NY Times, Washington Post, Wall Street Journal, the Boston Globe, Businessweek, and NPR.