Assistant Professor in the Maxwell School of Citizenship and Public Affairs at Syracuse University and a Senior Research Associate in the Campbell Public Affairs Institute. Himmelreich’s work is on applied ethics, political philosophy, and public policy with a research concentration on the ethics of autonomous systems. He has published papers on “Responsibility for Killer Robots,” the trolley problem and the ethics of self-driving cars, as well as on the role of embodiment in virtual reality. Beyond this interest in ethics and technology, Himmelreich has also published on the commodification of asylum-provision services as well as on the foundations and nature of moral responsibility and blame. He holds a PhD in Philosophy from the London School of Economics (LSE). Prior to joining Syracuse, was a postdoctoral fellow at Humboldt University in Berlin and at Stanford University in the McCoy Family Center for Ethics in Society where he spent part of his time at Apple University.
Yu-Che Chen, Ph.D., is a Professor in the School of Public Administration and holds the campus-wide Isaacson Professorship at the University of Nebraska at Omaha, where he serves as the Director of the Digital Governance and Analytics Lab. Dr. Chen received his Master of Public Affairs and Ph.D. in Public Policy from Indiana University-Bloomington. His current research interests are public policy and governance of artificial intelligence, cyberinfrastructure governance, and collaborative digital governance. Dr. Chen has published a single-authored book entitled Managing Digital Governance in 2017 with Routledge and served as lead editor for two others: Routledge Handbook on Information Technology in Government (2017) and Electronic Governance and Cross-Boundary Collaboration: Innovations and Advancing Tools (2012). In addition, he has published twenty-three peer-reviewed journal articles, thirteen book chapters, and eight management reports in the area of digital government and governance. His research works appear in scholarly journals such as Public Administration Review, Public Management Review, and Government Information Quarterly. He is Associate Editor of the International Journal of Public Administration in the Digital Age along with editorial board service for Government Information Quarterly and Digital Government: Research and Practice along with two other journals. He is a current board member of the Digital Government Society and serves as the lead conference chair for the 2021 International Digital Government Research Conference (dg.o 2021). Dr. Chen also serves on the Executive Committees for the Sections on Public Administration Research and on Science and Technology in Government for the American Society for Public Administration (ASPA).
Justin B. Bullock is an associate professor in the Public Service and Administration department and a research fellow in the Institute for Science, Technology and Public Policy, the Mosbacher Institute for Trade, Economics, and Policy . Dr. Bullock has a number of interests at the intersect of public administration, public management, artificial intelligence, digital governance, artificial discretion, and space governance. He is interested in the effects on governance, administration, and society of the rapid changes in technology and science. He is also interested in what new opportunities, challenges, and questions these rapid changes pose for governance and society.
Anton Korinek is an Associate Professor of Economics at the Department of Economics and of Business Administration at the Darden School of Business of the University of Virginia. His current research focuses on the implications of rapid progress in Artificial Intelligence for our economy & society, for inequality and for the future of work. He studied economics, math and law at the University of Vienna and headed the IT department of an asset management company in Austria. After earning his PhD in economics from Columbia University in 2007, he conducted research on designing policy measures to prevent financial crises and developed an influential framework for capital flow regulation in emerging economies. His research has been published in top economics journals and cited on Bloomberg, in the Economist and in the Wall Street Journal. He has won several fellowships and awards for this work, including from the Institute for New Economic Thinking. Prior to joining the University of Virginia, Professor Korinek held positions at Johns Hopkins University and at the University of Maryland and was a visiting scholar at Harvard University, the Bank for International Settlements, the International Monetary Fund, the World Bank, as well as a frequent visitor to numerous central banks, where he has given lectures and courses.
Baobao Zhang, Ph.D., is a Klarman Postdoctoral Fellow in the Cornell Society of Fellows, based in the Department of Government with a secondary affiliation with the Department of Information Science. In Fall 2021, Zhang will be an assistant professor of Political Science at the Maxwell School of Citizenship and Public Affairs at Syracuse University. Zhang is also a research affiliate with the Centre for the Governance of AI at the University of Oxford. Her current research focuses on trust in digital technology and the governance of artificial intelligence (AI). She studies (1) public and elite opinion toward AI, (2) how the American welfare state could adapt to the increasing automation of labor, and (3) attitudes toward Covid-19 surveillance technology. She has also researched the politics of the U.S. welfare state, attitudes towards climate change, and survey methodology. Zhang graduated with a PhD in political science (2020) and an MA in statistics (2015) from Yale University. In 2019-2020, she worked as a postdoctoral fellow in MIT’s Political Science Department and a fellow at the Berkman Klein Center for Internet and Society at Harvard University.
Dr. Young is an Assistant Professor in the department of Public Administration and International Affairs at the Maxwell School of Citizenship and Public Affairs of Syracuse University. He is also a senior research associate at the University’s Campbell Public Affairs Institute and the Autonomous Systems Policy Institute (ASPI). He studies technology and innovation, decision-making, and service delivery in the public sector. Dr. Young’s primary research agenda focuses on public sector innovation implementation, particularly artificial intelligence (AI) and related technologies. His work examines how institutional arrangements and the fit between technology and task shape available policy choices, and lead to implementation success or failure. This work has generated new debates and attention to the policy and management challenges presented by modern AI. It engages with scholars across disciplines, including computer science and engineering, philosophy, and communications. Dr. Young also conducts research on the political economy and institutional arrangements of public service provision. His work has appeared in top field journals such as Public Administration Review, Public Management Review, and Perspectives on Public Management and Governance, among others. He has given invited talks on his research to academic and practitioner audiences worldwide, including the Korean Development Institute (KDI) in Seoul, and the Association for Federal Enterprise Management in Washington, DC. Dr. Young’s Ph.D. is in Public Policy and Management from the Price School of Public Policy at the University of Southern California. He also has over ten years of private sector experience in both hardware and software technology engineering and product management, and consulting.
Valerie M. Hudson is a University Distinguished Professor and Holder of the George H.W. Bush Chair in the Department of International Affairs at The George H.W. Bush School of Government and Public Service at Texas A&M University, where she directs the Program on Women, Peace, and Security. Her research has been funded by the National Science Foundation, the Andrew Carnegie Corporation, and the Minerva Initiative of the US Department of Defense. Related to AI, her work includes Artificial Intelligence and International Politics, and "A New Kind of Social Science" which utilizes discrete sequence rule models to analyze inter-nation events (http://nkss.org). She has also published widely in Foreign Policy Analysis and in Feminist Security Studies. She is the co-author of Bare Branches, Sex and World Peace, The Hillary Doctrine, and The First Political Order.
The Governance of AI Research Group has an explicit policy focus. Unless policies to protect good governance are put in place now, there may be no possibility of doing so in the future as technologies disseminate quickly. The time to think about the governance of AI is now, not later.
Here are some representative publications on AI-related topics by our members.
Himmelreich, Johannes. “Agency and Embodiment: Groups, Human–Machine Interactions, and Virtual Realities.” Ratio 31, no. 2 (June 1, 2018): 197–213. https://doi.org/10.1111/rati.12158.
———. “Ethics of Technology Needs More Political Philosophy.” Communications of the ACM 63, no. 1 (January 2020): 33–35. https://doi.org/10.1145/3339905.
———. “Never Mind the Trolley: The Ethics of Autonomous Vehicles in Mundane Situations.” Ethical Theory and Moral Practice 21, no. 3 (May 17, 2018): 669–684. https://doi.org/10.1007/s10677-018-9896-4.
———. “Responsibility for Killer Robots.” Ethical Theory and Moral Practice 22, no. 3 (June 11, 2019): 731–47. https://doi.org/10.1007/s10677-019-10007-9.
Zuiderwijk, Anneke, Yu-Che Chen, and Fadi Salem (Editors), (forthcoming), Special Issue on Artificial Intelligence and Public Governance, Government Information Quarterly
Ahn, Michael and Yu-Che Chen, (2020), Artificial Intelligence and Government: Potentials, Challenges, and the Future, dg.o ’20, June, Seoul, South Korea. (Winner of the dg.o 2020 Best Management Paper Award)
Chen, Yu-Che, Anneke Zuiderwijk, and Fadi Salem (Editors), (2019), “Governance in the Age of Artificial Intelligence”, Proceedings of dg.o 2019: 20th Annual International Conference on Digital Government Research, Dubai, United Arab Emirates, June, 2019, ISBN: 978-1-4503-7204-6
Chen, Yu-Che and Teng-Wen Chang, (2020), “Explaining Government’s Online Transparency on Collaborative Policy Platforms: Risk Management and Configurational Conditions,” Public Performance and Management Review 43(3): 560-586
Chen, Yu-Che and Jooho Lee, (2018), “Collaborative Data Networks for Public Service: Governance, Management, and Performance,” Public Management Review, 20(5): 672-690.
Chen, Yu-Che, (2017), Managing Digital Governance: Issues, Challenges, and Solutions, American Society for Public Administration Series in Public Administration and Public Policy: New York, NY: Routledge.
Chen, Yu-Che and Michael Ahn, (Edited), (2017), Routledge Handbook on Information Technology in Government, New York, NY: Routledge.
Matthew Young, Justin B. Bullock, and Jesse Lecy. (2019). Artificial Discretion: A Framework for Understanding the Impact of Artificial Intelligence on Public Administration and Governance. Perspectives on Public Management & Governance 2(4):301-313. https://doi.org/10.1093/ppmgov/gvz014.
Justin B. Bullock. (2019). Artificial Intelligence, Discretion, and Bureaucracy. The American Review of Public Administration 49(7):751-761. https://doi.org/10.1177/0275074019856123
Justin B. Bullock, Robert A. Greer, and Laurence J. O’Toole. (2019). Managing Risks in Public Organizations: A Conceptual Foundation and Research Agenda. Perspectives on Public Management & Governance 2(1):75-87. https://doi.org/10.1093/ppmgov/gvx016.
Justin B. Bullock (2020) Artificial Intelligence: A Double-edged Sword. Mosbacher Institute for Trade, Economics & Public Policy. https://bush.tamu.edu/wp-content/uploads/2020/07/V11-9_AI_Takeaway.pdf
Justin B. Bullock & Matthew Young (2020). Risk Management in the AI Era: Navigating the Opportunities and Threats of AI to Overall Risk Management in the 21st Century. For the IBM Center for The Business of Government. Click here.
Justin B. Bullock. Public Administration Should Do Less Empiricism and More Arguing About Good Solutions Steeped in Good Explanations. Minnowbrook at 50 Concept Papers. Click here.
Robert A. Greer and Justin B. Bullock. (2017). Risk Management and Payment Errors: A Case Study of the U.S. Department of Labor. IBM Center for the Business of Government. Click here.
Integrating Ethical Values and Economic Value to Steer Progress in Artificial Intelligence [PDF], forthcoming, Dubber, Markus, Frank Pasquale and Sunit Das (eds.), Oxford Handbook of Ethics of Artificial Intelligence, Oxford University Press, 2020.
Taxation and the Vanishing Labor Market in the Age of AI [WP | PDF], Ohio State Technology Law Journal 16(1), pp. 244-257, Apr. 2020.
Artificial Intelligence and Its Implications for Income Distribution and Unemployment [Publication | WP | Presentation], with Joseph Stiglitz, in Agrawal et al.: The Economics of Artificial Intelligence, NBER and University of Chicago Press, May 2019.
“U.S. Public Opinion on the Governance of Artificial Intelligence.” (Baobao Zhang and Allan Dafoe), 2020, the Proceedings of the 2020 AAAI/ACM Conference on AI, Ethics, and Society. DOI: 10.1145/3375627.3375827
“Viewpoint: When Will AI Exceed Human Performance? Evidence from AI Experts.” (Katja Grace, John Salvatier, Allan Dafoe, Baobao Zhang, and Owain Evans) Journal of Artificial Intelligence Research, 2018, 62: 729-754. No. 16 on Altmetric’s top 100 most-discussed articles of 2017. DOI: 10.1613/jair.1.11222
“Americans’ Perceptions of Privacy and Surveillance in the COVID-19 Pandemic” (Baobao Zhang, Sarah Kreps, Nina McMurry, and R. Miles McCain); revise and resubmit at PLOS One. DOI: 10.31219/osf.io/9wz3y
Young, Matthew M. (2020). Implementation of Digital‐Era Governance: The Case of Open Data in US Cities. Public Administration Review, 80(2), 305–315.
Justin B. Bullock & Matthew Young (2020). Risk Management in the AI Era: Navigating the Opportunities and Threats of AI to Overall Risk Management in the 21st Century. For the IBM Center for The Business of Government. http://www.businessofgovernment.org/sites/default/files/Risk%20Management%20in%20the%20AI%20Era.pdf
Matthew Young, Justin B. Bullock, and Jesse Lecy. (2019). Artificial Discretion: A Framework for Understanding the Impact of Artificial Intelligence on Public Administration and Governance. Perspectives on Public Management & Governance 2(4):301-313. https://doi.org/10.1093/ppmgov/gvz014.
Musso, J. A., Young, Matthew M., & Thom, M. (2019). Volunteerism as co-production in public service management: Application to public safety in California. Public Management Review, 21(4), 473–494.
Bullock, J. B., Young, Matthew M., & Wang, Y. Street-level Bureaucracy and Artificial Intelligence in Public Service. Forthcoming (accepted) at Information Polity.
MoreHudson, Valerie M. (editor and contributor), (1991) Artificial Intelligence and International Politics, Westview Press, Boulder, CO
Chapter title: "Scripting International Power Dramas: A Model of Situational Predisposition", pp. 194-220
Hudson, Valerie M., Philip A. Schrodt, Ray D. Whitmer (2008) “Discrete Sequence Rule Models as a Social Science Methodology: An Exploratory Analysis of Foreign Policy Rule Enactment within Palestinian-Israeli Event Data, “ Foreign Policy Analysis, 4(2): 105-126
MoreThe Governance of AI Research Groups has several projects underway . . .
Each of the member of our groups is asking important questions . . .
Dr. Justin Bullock of Texas A&M University is the primary contact for the Group in the USA