AI and Society: Government, Policy, and the Law 

March 7-8, 2024

Hosted by: 

University of Missouri - Truman School of Government and Public Affairs and School of Law 
The rapid expansion and increased availability of quantitative data and the introduction of AI in recent years provides policymakers with both important opportunities and great challenges. The size and complexity of digital information and AI algorithms has the potential to improve how we understand, design, implement, and evaluate effective public policy. However, translating this wealth of information into useful insight requires a deep understanding of cutting-edge data-science methods, rich technical skills, and detailed knowledge about political processes.  This technology has the potential to both improve and worsen public programs, as well as democratic governance.  This conference focuses on four main themes in AI and public policy: AI in Government, Impact of AI on Democracy, Government Regulation and AI, Creating an AI Ready Public Sector, Applications of AI in Policy Domains. 

The conference is free to attend, and reservations are NOT required.  We encourage you to attend as your time and schedule permit, though seating will be first-come, first-serve.   

Event Location: Hulston Hall    Recommended Parking: Turner Avenue Parking Structure

Creating an AI ready Public SectorAI and Democracy 1

We will explore what future public servants need to know about AI. As AI looms large in recent years and decades to come, we need to understand the  importance of building civil service capability to ensure the opportunities are taken advantage of and the pitfalls avoided. We need to ensure policymakers have the capability to optimize the opportunities of fast-moving, world-changing technology that has implications for global security and economic dominance and for the services delivered to citizens.

AI in Government

We will focus on understanding what AI can and cannot do in the public sector.  How is AI currently being used in the public sector? What are the potential positive and negative consequences we should consider? What are the technical limitations to what AI can do? To understand the implications for public policy, we need to fully understand the potential and limitations of AI.

Impact of AI on Democracy

We will focus on AI’s impact on democracy and governance such as on elections, public service delivery, and public trust.  AI has the potential to drastically shift the information citizens receive about government and candidates, as well as how they receive public services.  Given current levels of distrust in democracy and government, it is important that we understand how the increased use of AI in government and elections will affect citizens and democracy.

Government Regulation of AI

We will focus on how to regulate AI for transparency, accountability, and fairness to enable AI-based systems to promote a better government and democracy in which technology promotes broad social inclusion based on fundamental rights, democratic institutions, and the rule of law.

Many countries in the world are moving forward AI initiatives that establish a comprehensive, risk-based approach for the regulation of AI, although many challenges exist in doing so.

AI and Society: Government, Policy, and the Law 

March 7th and 8th 

John K. Hulston Hall, Room 7, University of Missouri (All speakers and panels will be in this location.)

A special thank you to our sponsors within the University of Missouri


March 7th  (Day 1)


8:45-9:00 a.m. Welcome and Coffee

9:00-9:15 a.m. Opening Remarks

  • Lael Keiser, Director, Truman School of Government and Public Affairs
  • Paul Litton, Dean, University of Missouri Law School 

9:15- 10:00 a.m. Plenary:  Amanda Graor, Chief Innovation Officer/Assistant Director of Research Services, Mid-America Regional Council, Kansas City, Missouri 

10:00-10:15 a.m. Break

10:15-11:30 a.m. Using AI to Improve Governance and Policy Moderator Kathleen Miller

  • When a Tool of Government Becomes Governance: Preparing Public Sector Leaders for the Era of AI and Digital Transformation. 

Jesse Lecy, Arizona State University and Urban Institute


  • An Enterprise View for Artificial Intelligence Capability and Governance

Luis Felipe Luna-Reyes, SUNY Albany 


  • Achieving AI System Accountability for Collaborative Emergency Management Between Tribal Nations and U.S. Government 

Yu-Che Chen, University of Nebraska, Omaha


  • AI, Global Development, and Policy Implementation 

Connor T. Jerzak, University of Texas, Austin 


11:30-12:30 p.m. (Break-lunch) 

12:30- 1:45 p.m. Impact of AI on Government and Policy – Moderator Baekkwan Park

  • AI and Government Cyber-Operations 

Nori Katagiri, St. Louis University


  • Lakes and Common Pools: Reconciling Cybersecurity and AI with Data Protection 

Peter Swire, Georgia Tech University 

DeBrae Kennedy-Mayo, Georgia Institute of Technology 

Ian Nash, Edge Hill University


  • AI and Forensic Evidence

Sarah Barrington, University of California, Berkeley


1:45-2:00 p.m. Break


2:00-3:15 p.m. The Impact of AI on Public Attitudes and Behavior Moderator Lael Keiser

  • Engagement Algorithms and Democratic Legitimacy. 

Tim Aylsworth, Florida International University


  • The Second Order Effects of LLM and Generative AI on Political Communication 

Kaylyn Jackson Schiff, Purdue University


  • Net Versus Relative Impacts in Public Policy Automation: a Conjoint Analysis of Attitudes of Black Americans

Ryan Kennedy, University of Houston


  • Partisan Representative Bureaucracy and Attitudes Toward Automated Tax Compliance 

Susan Miller, Arizona State University 

Lael Keiser, University of Missouri


3:15-3:30 p.m. Break


3:30-4:45 p.m. Promise and Peril: Harnessing AI to Improve Democracy and Government – Moderator Baekkwan Park 


  • Processing Civic Engagement Data with an AI Toolkit. 

Brad A. M.  Johnson, University of Nevada, Reno


  • Ghosting the Machine: Judicial Resistance to a Risk Assessment Instrument 

Dasha Pruss, Harvard University


  • The Politics of Using AI in Policy Implementation:  Evidence from a Field Experiment

Shir Raviv, Columbia University


4:45 - 5:00 p.m. Wrap Up 

March 8th (Day 2)

9:00-9:40 a.m. Welcome and Plenary

  • Cooper Drury, Dean, College of Arts and Science. 
  • Plenary: Aaron Annable, Consul, Consulate General of Canada  
            Canada’s Approach to Artificial Intelligence


9:40-9:45 a.m. Break

9:45-11:00 a.m. Challenges of Regulating AI – Moderator Dennis Crouch 

  • Comparative Analysis of AI Regulation Focusing on EU AI Act 

Renee Henson, University of Missouri


  • How can we Know if you’re Serious: Ethics Washing and the Responsible Design of AI Systems

John Nelson, Georgia Tech University


  • Offshore: The Coming Global Archipelago of Corrosive AI. 

Brian Nussbaum, Suny-Albany 


  • The Politics of AI

Daniel S. Schiff, Purdue University


11:00-11:15 a.m. Break

11:15 to 12:30 p.m. Regulating AI across Sectors – Moderator Dennis Crouch 

  • AI and Regulating Copyright

Dennis D. Crouch, University of Missouri 


  • Artificial Intelligence and Cracks in the Foundation of Intellectual Property”?

Robin Feldman, UC Law, San Francisco 


  • Deepfakes and the Fight for Recognition:  Reimagining Policymaking in Response to New and Emerging Forms of Violence and Abuse with Technology 

Alice Fox, Stanford University


  • AI and Corporate Regulation 

Michael Siebecker, University of Denver 


12:30-1:30 p.m. Break - lunch

1:30 to 2:45 p.m.  AI: Equity, Justice, and Human Rights - Moderator Baekkwan Park 

  • Toward Automated Justice

Nikola Datzov, University of North Dakota 


  • The Moon and the Ghetto: AI, Computational Algorithms and the Challenges of Systematic Bias in Public Administration and Management. 

Jane Fountain, University of Massachusetts, Amherst. 


  • Having your Privacy Cake and Eating it Too: Platform-Supported Auditing of Social Media Algorithms for Public Interest 

Basileal Imana, Princeton University


  • Not Just Bad Apples: A Large Language Model Approach to Studying Police Violence Accusation Framing at U.S. Human Rights Reports

Jie (Jason) Lian, University of Georgia 



2:45-3:00 p.m. Break

3:00-4:30 p.m.  Roundtable:  Creating an AI-Ready Public Sector through Education and Research  – Moderator Lael Keiser  

Yu-Che Chen, University of Nebraska, Omaha  

Jane Fountain, University of Massachusetts Amherst  

Jesse Lecy, Arizona State University and Urban Institute 

Renee E. Henson, University of Missouri. 


4:30-5:00 p.m. Closing Remarks