A Fair Artificial Intelligence Research & Regulation (FAIRR) Bureau

Authors: Kenneth R. Fleischmann and Sherri R. Greenberg


Summary 

Artificial intelligence (AI) is transforming our everyday reality, and it has the potential to save or to cost lives. Innovation is advancing at a breakneck pace, with technology developers engaging in de facto policy-setting through their decisions about the use of data and the embedded bias in their algorithms. Policymakers must keep up. Otherwise, by ceding decision-making authority to technology companies, we face the rising threat of becoming a technocracy. Given the potential benefits and threats of AI to US national security, economy, health, and beyond, a comprehensive and independent agency is needed to lead research, anticipate challenges posed by AI, and make policy recommendations in response. The next administration should create the Fair Artificial Intelligence Research & Regulation (FAIRR) Bureau, which will bring together experts in technology, human behavior, and public policy from all sectors - public, private, nonprofit, and academic - to research and develop policies that enable the United States to leverage AI as a positive force for national security, economic growth, and equity. The FAIRR Bureau will adopt the interdisciplinary, evidence-based approach to AI regulation and policy needed to address this unprecedented challenge.

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About the Author

Kenneth R. Fleischmann is a Professor in the School of Information at the University of Texas at Austin, and the Founding Chair of Good Systems, a UT Grand Challenge. His research focuses on the ethics of AI, including the role of human values such as transparency, trust, and human agency in the design and use of AI-based technologies. His research has been funded by NSF, IARPA, Microsoft Research, Cisco, Micron Foundation, and the Public Interest Technology University Network. His research has been published in venues such as JASIST, JMIR, CSCW, CIKM, ASSETS, SocialCom, Computer, and Communications of the ACM. His collaborative research has been awarded the iConference Best Paper Award, the ASIS&T SIG-USE Best Information Behavior Conference Paper Award, the ASIST SIG-SI Social Informatics Best Paper Award, the Civic Futures Award for Designing for the 100%, and the MetroLab Innovation of the Month.


Sherri R. Greenberg is a Professor of Practice and a Fellow of the Max Sherman Chair in State and Local Government at the LBJ School of Public Affairs at The University of Texas at Austin, and the Research Director of the Future of Work for Good Systems, a UT Grand Challenge. Greenberg holds an MSc from the London School of Economics, and her research has been funded by Cisco, IBM, Accenture, the Congressional Research Service, and the State of Texas. Greenberg is Chair of the Central Health Board, a board member of the City of Austin Housing Investment Review Committee, the Austin Forum on Science and Technology Advisory, and the Austin Smart City Alliance. She has been a Senior Advisor to Austin Mayor Steve Adler. Greenberg was a Texas State Representative from 1991 to 2001, and she chaired the House Pensions and Investments Committee and the Select Committee on Teacher Health Insurance, and served on the House Appropriations, Economic Development, Elections, and Science and Technology Committees.