Introduction
As AI continues to influence various aspects of society, its impact on law enforcement raises critical questions regarding bias, privacy rights, and ethical considerations. To address these concerns, the National AI Advisory Committee (NAIAC) has established a subcommittee specifically focused on exploring the use of AI in law enforcement. In this article, we will introduce the experts on the NAIAC Law Enforcement (NAIAC-LE) subcommittee, showcasing their diverse backgrounds and expertise in the field.
Armando Aguilar
Armando Aguilar, Assistant Chief of Police for the Miami Police Department’s Criminal Investigations Division, brings valuable experience implementing offender-focused strategies and developing facial recognition technology policies that balance privacy concerns with public safety needs. His knowledge and accomplishments have made him a respected figure in law enforcement technology.
Anthony Bak
Anthony Bak, Head of AI at Palantir, plays a crucial role in shaping AI strategies and policies for the company. His expertise in AI policy and collaboration with government entities and civil society groups ensures safe and effective AI implementation. Bak’s commitment to responsible AI practice reflects his dedication to addressing privacy and civil liberties concerns.
Amanda Ballantyne
Amanda Ballantyne, Director of the AFL-CIO Technology Institute, is focused on the impacts of AI and related technologies on work and working people. Her efforts revolve around elevating worker voices and advocating for AI’s ethical implications in hiring, performance tracking, privacy, and worker surveillance.
Jane Bambauer
Jane Bambauer, a law professor, expertly navigates the intersection of technology policies and fundamental societal issues. Her research on the social costs and benefits of Big Data and information technologies addresses concerns about free speech, privacy, and competitive markets. Bambauer’s contributions have been recognized in numerous scholarly publications and media outlets.
Esha Bhandari
Esha Bhandari, deputy director of the ACLU’s Speech, Privacy, and Technology Project, focuses on protecting freedom of expression and privacy rights in the digital age. Her work encompasses litigation and advocacy, particularly regarding the impact of big data and AI on civil liberties. Bhandari’s commitment to constitutional challenges ensures accountability and safeguards individual rights.
Jennifer Eberhardt:
Jennifer L. Eberhardt, a Professor of Organizational Behavior and Psychology at Stanford University, leads a multidisciplinary team examining racial bias and inequality. Her research, which utilizes machine learning models to analyze police body-worn camera footage, contributes to efforts to improve police-community interactions and address pressing social problems.
Farhang Heydari
Farhang Heydari, an Assistant Professor of Law at Vanderbilt Law School, specializes in criminal law, criminal procedure, and policing. His experience as the inaugural Executive Director of the Policing Project at NYU School of Law adds valuable insights into policing technologies and governmental misconduct, promoting accountability and reform.
Benji Hutchinson
Benji Hutchinson, Chair of the Security Industry Association’s Identity and Biometric Technology Advisory Board, has extensive experience in facial recognition and computer vision technologies. His expertise in developing national and international biometric systems ensures a comprehensive understanding of policy, privacy, ethics, and law related to identity analysis.
Rashawn Ray
Rashawn Ray, Vice-President and Executive Director of the AIR Equity Initiative holds expertise in racial equity, policing, and criminal justice reform. As a professor of sociology, he combines academic research with practical applications such as virtual reality training programs for law enforcement. His work advances understanding and guides policy changes to combat systemic inequalities.
Cynthia Rudin
Cynthia Rudin, a professor at Duke University, heads the Interpretable Machine Learning Lab. Her research focuses on creating predictive models that are transparent and understandable. With applications in healthcare, criminal justice, and energy reliability, Rudin’s work promotes responsible AI adoption by ensuring human interpretability.
Conclusion
The experts on the NAIAC-LE subcommittee bring a wealth of knowledge and experience from various fields, such as law enforcement, AI technology, civil liberties, sociology, and academia. Their collective expertise will guide the subcommittee in addressing the multifaceted challenges associated with AI in law enforcement, ultimately striving to balance public safety, privacy rights, and ethical considerations. Their contributions will shape policy recommendations that promote AI’s responsible and equitable use in the pursuit of justice.
