The National AI Initiative Act of 2020 calls for the Secretary of Commerce, in consultation with the Director of the Office of Science and Technology Policy, the Secretary of Defense, the Secretary of Energy, the Secretary of State, the Attorney General, and the Director of National Intelligence, to establish the National Artificial Intelligence Advisory Committee (NAIAC). The NAIAC is tasked with advising the President and the National AI Initiative Office on topics related to the National AI Initiative. This Advisory Committee was launched in April 2022.

Congress has directed the NAIAC to provide recommendations on topics including the current state of U.S. AI competitiveness; progress in implementing the Initiative; the state of science around AI; issues related to AI workforce; how to leverage Initiative resources; the need to update the Initiative; the balance of activities and funding across the Initiative; the adequacy of the National AI R&D strategic plan; management, coordination, and activities of the Initiative; adequacy of addressing societal issues; opportunities for international cooperation; issues related to accountability and legal rights; and how AI can enhance opportunities for diverse geographic regions.

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The NAIAC consists of leaders with a broad and interdisciplinary range of AI-relevant expertise from across academia, non-profits, civil society, and the private sector. These experts are highly qualified to provide advice and information on science and technology research, development, ethics, standards, education, governance, technology transfer, commercial application, security, economic competitiveness, and other topics related to AI. The following experts serve on the NAIAC:
Miriam Vogel (Chair), Equal AI

Miriam Vogel is the President and CEO of EqualAI, a non-profit created to reduce unconscious bias in our artificial intelligence (AI) and promote responsible AI governance. Miriam also teaches Technology Law and Policy at Georgetown University Law Center, where she serves as chair of the alumni board, and serves on the board of the Responsible AI Institute (RAI). Miriam is a Senior Advisor to WestExec Advisors and sits on the senior advisory board to the Center for Democracy and Technology (CDT). Previously, Miriam served in the U.S. government leadership, including positions in the three branches of federal government. Most recently, she served as Associate Deputy Attorney General, where she advised the Attorney General and the Deputy Attorney General (DAG) on a broad range of legal, policy and operational issues. Miriam served in the White House in two Administrations, most recently as the Acting Director of Justice and Regulatory Affairs. Prior to serving in the Obama administration, Miriam was Associate General Counsel at Dana-Farber Cancer Institute and practiced entertainment/corporate transactional law at Sheppard Mullin in Los Angeles. Miriam began her legal career as a federal clerk in Denver, Colorado after graduating from Georgetown University Law Center and is a third generation alumna from the University of Michigan.

James Manyika (Vice Chair), Google

James is Senior Vice President for Technology & Society at Google. He is the Chair and director emeritus of the McKinsey Global Institute, where he led research on technology and the economy. He served as Vice Chair of President Obama’s Global Development Council at the White House, and the Commerce Department Digital Economy Board and the National Innovation Board. He is a Visiting Professor at Oxford, has served on boards of research institutes at MIT, Harvard, and Stanford’s Human Centered AI Institute and the 100-year study of AI, and on the National Academies of Science, Engineering and Medicine’s Committee on Responsible Computing. He is a Fellow of the American Academy of Arts and Sciences, a Distinguished Fellow of Stanford’s AI Institute, a Distinguished Research Fellow in Ethics & AI at Oxford. A Rhodes Scholar, James has a DPhil, MSc, MA from Oxford in AI, mathematics and computer science, a BSc in electrical engineering from the University of Zimbabwe.

Yll Bajraktari, Special Competitive Studies Project

Yll Bajraktari is the CEO of the Special Competitive Studies Project. Prior to launching SCSP, Yll served as the Executive Director of the National Security Commission on Artificial Intelligence. Prior to joining NSCAI, he served as Chief of Staff to the National Security Advisor LTG H.R. McMaster, held a variety of leadership roles for former Deputy Secretary of Defense Robert Work, and served as Special Assistant to the Chairman of the Joint Chiefs of Staff, General Dempsey. Originally joining the Department of Defense in 2010, he served in the Office of the Undersecretary for Policy as a country director for Afghanistan, and later India. Mr. Bajraktari is the recipient of the Department of Defense Distinguished Civilian Service Medical – the highest award given to career DoD civilian employees.

Amanda Ballantyne, AFL-CIO

Amanda Ballantyne is the Director of the AFL-CIO Technology Institute. The AFL-CIO is a national federation of 57 national and international labor unions, representing more than 12.5 million workers. Founded in 2021, the AFL-CIO Technology Institute works closely with labor unions and workers in every sector of our economy to anticipate the arc of technological change and develop strategies to bend that arc to better serve working people. 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 artificial intelligence and related technologies on work and working people. Amanda’s work also focuses on elevating worker voice 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.

Sayan Chakraborty, Workday

Sayan Chakraborty is Executive Vice President of Product and Technology at Workday, Inc. In this role, he is responsible for the strategy, delivery, infrastructure, and security of the company’s platform as well as its entire suite of solutions. Since joining Workday through the acquisition of GridCraft in 2015, Sayan has held several leadership roles including executive vice president of technology and senior vice president of tools and technology. Before co-founding GridCraft and serving as chief operating officer, Sayan was vice president of software development at Oracle, where he led teams focused on next-generation collaboration products. Prior to Oracle, Sayan served in various leadership roles at several technology start-ups over the course of nearly two decades. At the start of his career, Sayan worked as an engineer on interplanetary spacecraft at NASA’s Jet Propulsion Laboratory, and on the early commercialization of global positioning systems (GPS). Sayan holds a master of science degree and a bachelor of science degree in aerospace engineering from the Massachusetts Institute of Technology.

Jack Clark, Anthropic

Jack Clark is co-founder Anthropic, co-chair of the OECD’s working group on AI and Compute, and a non-resident research fellow at the Center for Security and Emerging Technology (CSET). In his spare time, Jacks writes Import AI, a newsletter about AI and AI policy read by more than 25,000 people around the world. Jack was formerly the policy director of OpenAI, an AI research company.

David Danks, University of California at San Diego

David Danks is a Professor of Data Science and Philosophy and affiliate faculty in the Department of Computer Science and Engineering at the University of California, San Diego. Professor Danks’s research focuses on the intersection of cognitive of philosophy, cognitive science, and machine learning, using ideas, methods, and frameworks from each to advance our understanding of complex, interdisciplinary problems. His work explores the ethical, psychological and policy issues around AI and robotics in transportation, healthcare, privacy, and security. He’s also conducted research on computational cognitive science and developed multiple novel casual discovery algorithms for complex types of observational and experimental data. Prior to coming to UC-San Diego, he was at Carnegie Mellon University, where he notably served as the Chief Ethicist for the Block Center for Technology and Society. He also served as a subject-matter advisory to the National Security Commission on Artificial Intelligence.

Victoria A. Espinel, BSA

Victoria A. Espinel, President and CEO of BSA. Ms. Espinel. The Software Alliance, is an authority on the intersection of digital transformation, global markets, and public policy, leading efforts that shape the technology landscape in more than 30 countries. Prior to BSA, Espinel served for a decade in the White House for Republican and Democratic Administrations. As President Obama’s advisor on intellectual property, she created a new office for intellectual property coordination at the White House. Before that, he established and led a new office at USTR as the first chief trade negotiator for intellectual property and innovation. Espinel was appointed by President Obama to serve on the Advisory Committee on Trade Policy and Negotiations (ACTPN), the principal advisory group for the US government on international trade. Espinel serves on the Board of Directors for ChIPs, a nonprofit organization focused on advancing women in technology, law, and policy, and is a founding sponsor of Girls Who Code’s Washington, D.C, program. She holds an LLM from the London School of Economics, a JD from Georgetown University Law School, BS in Foreign Service from GW School of Foreign Service.

Paula Goldman, Salesforce

Paula Goldman is Salesforce’s first-ever Chief Ethical and Humane Use Officer. In her role, she leads Salesforce in creating a framework to build and deploy technology, including artificial intelligence, that optimizes trust and social benefit. Prior to Salesforce, Paula was Vice President and Head of the Tech and Society Solutions Lab, as well as VP of Impact Investing at Omidyar Network, a mission driven early stage investment firm founded by eBay Founder Pierre Omidyar. Prior to Omidyar, she co-founded multiple start-ups and initiatives. As founder and director of Imagining Ourselves with the International Museum of Women, she co-led the creation of one of the world’s first online museums. Paula earned a Ph.D. from Harvard University, where she did a dissertation on how unorthodox ideas became mainstream.

Susan Gonzales, AIandYou

Susan Gonzales Founder and CEO of AIandYou, a nonprofit engaging and educating marginalized communities about artificial intelligence and new technologies including cryptocurrency, NFTs and the metaverse. Susan leads the organization with over 20 years of experience in technology, community engagement, and tech policy from Washington, DC and Silicon Valley. Prior to launching AIandYou, Susan led community engagement for policy at Meta (Facebook), Comcast and other global organizations. She currently serves as an advisor to the World Economic Forum’s Global Futures Council and Global AI Action Alliance. Susan also serves as Board member for the Eva Longoria Foundation, and the Sheryl Sandberg/Dave Goldberg Foundation and LeanIn.org. She served as Vice Chair for the National American Latino Museum Commission and the Congressional Hispanic Caucus Institute in Washington, DC.

Janet Haven, Data & Society

Janet Haven is the Executive Director of Data & Society, leading the independent social science research institute as it investigates the implications of data-centric and automated technologies – particularly as they impact historically marginalized and vulnerable groups. Haven has worked at the intersection of technology policy, governance, and accountability for twenty years, both domestically and internationally. Before joining Data & Society, she spent more than a decade at the Open Society Foundations, where she oversaw funding strategies and grant-making related to technology’s role in strengthening civil society, and played a substantial role in shaping the field of data and technology governance. She sits on the board of the Public Lab for Open Technology and Science and advises a range of non-profit organizations.

Daniel E. Ho, Stanford University

Daniel E. Ho is the William Benjamin Scott and Luna M. Scott Professor of Law at Stanford Law School, Professor of Political Science, and Senior Fellow at the Stanford Institute for Economic Policy Research. He serves as Associate Director of the Stanford Institute for Human-Centered Artificial Intelligence, which seeks to advance AI research, education, policy, and practice to improve the human condition. He is also Faculty Fellow at the Center for Advanced Study in the Behavioral Sciences and Director of the Regulation, Evaluation, and Governance Lab (RegLab). He received his J.D. from Yale Law School and Ph.D. from Harvard University and clerked for Judge Stephen F. Williams on the U.S. Court of Appeals, District of Columbia Circuit.

Ayanna Howard, Ohio State University

Ayanna Howard is the Dean of Engineering at The Ohio State University and Monte Ahuja Endowed Dean’s Chair. Previously she was the Linda J. and Mark C. Smith Endowed Chair in Bioengineering and Chair of the School of Interactive Computing at the Georgia Institute of Technology. Dr. Howard’s research encompasses advancements in artificial intelligence (AI), assistive technologies, and robotics, and has resulted in over 275 peer-reviewed publications. She is a Fellow of IEEE, AAAI, AAAS, and the National Academy of Inventors (NAI). She is also the recipient of the Anita Borg Institute Richard Newton Educator ABIE Award, CRA A. Nico Habermann Award, Richard A. Tapia Achievement Award, NSBE Janice Lumpkin Educator of the Year Award, and ACM Athena Lecturer Award. Prior to Georgia Tech, Dr. Howard was at NASA’s Jet Propulsion Laboratory where she held the title of Senior Robotics Researcher and Dep. Mgr in the Office of Chief Scientist.

Jon Kleinberg, Cornell University

Jon Kleinberg is the Tisch University Professor in the Departments Computer Science and Information Science at Cornell University, where he has served in roles including chair of the Department of Information Science and Interim dean of Computing and Information Science. His research focuses on the interaction of algorithms and networks, the roles they play in large-scale social and information systems, and their broader societal implications. He is a member of the National Academy of Sciences, the National Academy of Engineering, and the American Academy of Arts and Sciences, and has served on the Computer Science and Telecommunications Board (CSTB) of the National Research Council and the Computer and Information Science and Engineering (CISE) Advisory Committee of the National Science Foundation. He is the recipient of MacArthur, Packard, Simons, Sloan, and Vannevar Bush research fellowships, as well as, awards including the Harvey Prize, the Nevanlinna Prize, the ACM/AAAI Allen Newell Award, and the ACM Prize in Computing.

Ramayya Krishnan, Carnegie Mellon University

Ramayya Krishnan is with W. W. Cooper and Ruth F. Cooper Professor of Management Science and Information Systems at Carnegie Mellon University. He has been Dean of the Heinz College of Information Systems and Public Policy at the University since 2009 and is also a faculty member in the Department of Engineering and Public Policy in the College of Engineering at the University. He has helped create and lead multiple educational and research initiatives at the university such as Masters of Information Systems and Management program (https://bit.ly/3K9gUHE), the PwC Center for Digital Transformation and Innovation (https://bit.ly/3DVDBfY) and the Block Center for Technology and Society (https://bit.ly/3DC2KvN). Recent examples of his work in the public interest include his service on the Geotech Commission on Emerging Technologies (https://bit.ly/3DZ5G6b) of the Atlantic Council, membership in the digital technology and economic advisory board to the President of the Asian Development Bank, and his work with the Wolf Administration in the State of Pennsylvania on economic recovery and reopening during the pandemic. He is an elected fellow of the National Academy of Public Administration, a AAAS Fellow (Section-T) and an INFORMS Fellow. He was the 2019 President of INFORMS (the institute for Operations Research and Management Science) and a distinguished alumnus of both the University of Texas at Austin and the Indian Institute of Technology, Madras. networks. A distinctive feature of his work has been deep partnerships with firms or agencies and pursuit of work that has made foundational contributions to management science and information technology while making a real-world impact.

Ashley Llorens, Microsoft

Ashley Llorens is Vice President, Distinguished Scientist, and Managing Director at Microsoft Research (MSR). In this role, he leads the MSR global outreach team, which seeks to amplify the impact of research at Microsoft and to advance the cause of science and technology research around the world. He manages the strategy and execution for MSR engagement with the rest of Microsoft and with the broader science and technology community. In addition, he leads investment in high-impact collaborative research projects on behalf of the company, and pushes to create pipelines for diverse, world-class talent, and generate awareness of the current and envisioned future impact of science and technology research. Prior to joining Microsoft, he served as the founding chief of the Intelligent Systems Center at the Johns Hopkins Applied Physics Laboratory (APL), where he directed research and development in AI, robotics, and neuroscience and created APL’s first enterprise-wide AI strategy and technology roadmap. At APL, he led interdisciplinary teams in developing novel AI technologies from concept to real-world application with a focus on autonomous systems. His background is in machine learning and signal processing and current research interests include reinforcement learning for real-world systems, machine decision- making under uncertainty, human-machine teaming, and practical AI safety. He’s served on advisory boards and strategic studies for the Departments of Defense and Energy and the National Academy of Sciences.

Haniyeh Mahmoudian, DataRobot

Dr. Haniyeh Mahmoudian is the Global AI Ethicist at DataRobot, Inc. She leads a team of Applied AI Ethicists providing technical and educational guidance in the area of responsible AI. In addition to strategizing the implementation of components of ethics in the product, in her role, Dr. Mahmoudian provides thought leadership in responsible AI with focus on AI Bias, Trusted and Ethical AI. Dr. Mahmoudian holds a Ph.D. in Astronomy and Astrophysics from Bonn University. She has won the VentureBeat’s Women in AI Award for Responsibility and Ethics in AI and was named as an AI Ethics leader by Forbes.

Christina Montgomery, IBM

Christina Montgomery is IBM’s Chief Privacy Officer and an IBM Vice President. As Chief Privacy Officer, she oversees IBM’s global privacy program, compliance, and strategy, and directs all aspects of IBM’s privacy policies. She also chairs IBM’s AI Ethics Board, a multi-disciplinary team responsible for the governance and decision-making process for AI ethics policies and practices. During her tenure at IBM, Christina has served in a variety of positions including Managing Attorney, cybersecurity counsel and, most recently, Corporate Secretary to the company’s Board of Directors, where she also led the legal support for many of the company’s headquarters functions. Christina is an Advisory Board Member of the Future of Privacy Forum, Advisory Council Member of the Center for Information Policy Leadership, and a member of the U.S. Chamber of Commerce AI Commission. Mrs. Montgomery received a B.A. from Binghamton University and a J.D. from Harvard Law School.

Liz O’Sullivan, Parity AI

Liz O’Sullivan is CEO of the algorithmic auditing platform, Parity. Prior to reincorporating Parity, they were a cofounder of model monitoring startup Arthur, and the first Technology Director of NYC-based Surveillance Technology Oversight Project (STOP). Liz is an expert in fair algorithms, consumer privacy, and artificial intelligence, coming to the world of responsible AI following a 10-year career on the commercial side of AI startups. In 2019, Liz became a member of the International Committee for Robot Arms Control and the Campaign to Stop Killer Robots, joining the movement towards an internationally binding instrument to prohibit some of the most dangerous applications of AI.

Fred Oswald, Rice University

Fred Oswald is Professor and Herbert S. Autrey Chair in Social Sciences and the Director of Graduate Studies in Industrial/Organizational Psychology at Rice University. Professor Oswald’s work centers on workforce readiness and quantitative methods, including meta-analysis, psychometrics, and big data. He is the Director of the Organizational Workforce Lab at Rice, which conducts research on the future of the workforce, including employee performance and academic success; the effectiveness of the workforce, including workforce readiness and personnel section; the measurement of the workforce, including developing psychological tests; and the analysis of the workforce, including using big data and modern analytics for organizations and colleges. Recent research and publications have explored AI-based personnel selection, the use of big data in human resources management, and the use of artificial intelligence and machine learning in talent management systems.

Frank Pasquale, Brooklyn Law School

Frank Pasquale is an expert on the law of artificial intelligence (AI), and one of the leading scholars of law and technology in the U.S. Before coming to Brooklyn Law, he was Piper & Marbury Professor of Law at the University of Maryland. His 2015 book, The Black Box Society: The Secret Algorithms That Control Money and Information (Harvard University Press), has been recognized as a landmark study in information law. His latest book, New Laws of Robotics: Defending Human Expertise in the Age of AI (Harvard University Press,2020) analyzes the law and policy influencing the adoption of AI in varied professional fields. Pasquale has also co-edited The Oxford Handbook of Ethics of AI (Oxford University Press,2020), and published numerous articles on law and technology. He is an Affiliate Fellow at Yale University’s Information Society Project, a member of the American Law Institute, and co-editor-in-chief of the Journal of Cross-Disciplinary Research in Computational Law (JCRCL).

Trooper Sanders, Benefits Data Trust

Trooper Sanders is CEO of Benefits Data Trust, a nonprofit that uses data, technology, policy change, and direct service to both connect people today to public benefits paying for food, healthcare, and other critical needs, and advancing the modernization of public benefits system so all have dignified and efficient access to support tomorrow. Previously, Trooper was a Rockefeller Foundation fellow developing strategies addressing the social and economic equity implications of artificial intelligence and related emerging technologies. For many years, he ran a boutique policy and social good partnerships practice advising startup companies, philanthropy, and business leaders. He has served as a White House policy advisor in two administrations working on issues ranging from military family policy to mental health. Trooper has an LL.M. from the University of London, a master’s degree from the London School of Economics and bachelor’s degree in international political economy from the University of Michigan. He serves on the board of Girl Scouts of the USA and the advisory board of the Military Family Research Institute.

Navrina Singh, Credo AI

Navrina Singh is the Founder & CEO of Credo AI. A Responsible AI Governance Platform enabling enterprises to build fair, compliant and auditable AI. Credo AI SaaS helps enterprises build trust by measuring, monitoring and managing AI risks at scale. A technology leader with over 18+ years experience in Enterprise SaaS, AI and Mobile. Navrina has held multiple product and business leadership roles at Microsoft and Qualcomm. Navrina is an executive board member of the Mozilla Foundation guiding their trustworthy AI charter. Navrina is also a Young Global Leader with the World Economic Forum and was on their future council for AI guiding policies & regulations in Responsible AI. Navrina holds a Master’s in Electrical and Computer engineering from the University of Wisconsin – Madison, an MBA from Marshall School of Business at the University of Southern California and a Bachelor’s in Electronics and Telecommunication engineering from India. hiring diverse talent. Ms. Singh is a Young Global Leader with World Economic Forum (WEF), for her work in disruptive technologies and driving diversity & inclusion initiatives at Scale.

Swami Sivasubramanian, Amazon Web Services

Swami Sivasubramanian is Vice President for Data and Machine Learning Services at Amazon Web Services. His team’s mission is to put the power of databases, analytics, and machine learning capabilities in the hands of every business, including developers, data scientists, and business users. Swami and his team innovate across multiple areas, from databases (e.g. Amazon RDS, Aurora to NoSQL databases like DynamoDB, ElastiCache, MemoryDB and Neptune), to analytics (e.g. Redshift, EMR, Athena, QuickSight, Lakeformation, Glue, OpenSearch), to machine (e.g., frameworks and infrastructure, Amazon SageMaker) and AI services (e.g. Transcribe, Translate, Textract, Rekognition, Personalize). His team also works to deliver needle-moving capabilities in data and ML for specific verticals, use cases, and initiatives like Health AI (e.g. HealthLake, Comprehend Medical, Transcribe Medical), Industrial (e.g. Lookout for Equipment, Lookout for Metrics, Lookout for Vision, Panorama), Contact Center AI(e.g., Contact Lens with Amazon Connect), Financial services (e.g. FinSpace, Amazon Managed Blockchain), and Enterprise Search (Kendra). Previously, Swami managed AWS’s NoSQL and big data services. He managed the engineering, product management and operations for AWS database services that are the foundational building blocks for AWS. Swami has been awarded more than 250 patents, has authored 40 referred scientific papers and journals and participates in several academic circles and conferences.

Keith Strier, NVIDIA

Keith Strier is the Vice President for Worldwide AI Initiatives at NVIDIA with responsibility for global public sector engagements and AI Nations partnerships. Keith is a recognized authority on national AI infrastructure and is the founding Co-Chair, AI Compute Taskforce at the OECD. Keith was previously Global AI Leader at EY and Global Managing Partner, Digital Innovation at Deloitte. Keith holds degrees from Cornell University and New York University School of Law.

Reggie Townsend, SAS

Reggie Townsend oversees the Data Ethics Practice (DEP) at SAS Institute. As Director of the DEP, he leads the global effort for consistency and coordination of strategies that empower employees and customers to deploy data driven systems that promote human well-being, agency and equity. He has over 20 years of experience in strategic planning, management, and consulting focusing on topics such as advanced analytics, cloud computing and artificial intelligence.

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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.

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Congress directs the NAIAC to submit a report to the President and Congress after the first year, and then again every three years, to provide the Committee’s findings and recommendations on the National AI Initiative.

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The National Artificial Intelligence Advisory Committee has been established by the U.S. Department of Commerce under the authority of Section 5104 of the National Artificial Intelligence Initiative Act of 2020 (Pub. L. No. 116-283) and the Federal Advisory Committee Act, as amended (FACA), 5 U.S.C, App. For more information on the charter, please see the National AI Advisory Committee Charter.

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Information about the NAIAC meetings will be posted here as it becomes available.

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