Politics of AI Workshop at MPSA 2026

Panel 1 (8-9:30): Drivers and Outcomes of AI Adoption in Local Government

Chair: Kaylyn Jackson Schiff

1. “Adoption and Governance of Artificial Intelligence: Evidence from Survey of AI in Local Government (SAIL-GOV)” by Eunju Rho, Jaehee Jong, and Jooho Lee
2. “Understanding AI Adoption in Local Government: Capacity Constraints or Political Caution?” by Niki Jabbari, Yung-Yu Tsai, and Lael Keiser
3. “Municipal Leadership and AI Adoption” by Heonuk Ha, Kaylyn Jackson Schiff, Ogadinma Enwereazu, and Yunzhe Liu
4. “Bureaucratic Discretion and Digitalization: The Influence of Decision-Support Tools on Administrative Decision-making in Child Protection Services” by Nazia Malik

Panel 2 (9:45-11:15): AI Governance: First Principles, Ethics, and Civil Society Involvement

Chair: Beatrice Magistro

1. “A First Principles Framework for AI Regulation” by Greg Dobler
2. “Technological fixes for AI ethics: When and how are(n’t) they possible?” by John Nelson
3. “From Ethics to Policy: Translating AI Ethical Guidelines into Governance Frameworks in Northeast Asia” by Chee Hae Chung and Daniel Schiff
4. “Profiles of civil society organizations shaping AI governance: Identifying organization clusters based on CSO’s roles, policy areas, and AI governance approaches” by Megan LePere-Schloop, Sandy Zook, and Aysha Chaudhry

Panel 3 (11:30-1): The Impact of Large Language Models on Political Communication and Research

Chair: Daniel Schiff

1. “The Persuasive Effects of AI’s Moral Messaging in Political Communication” by Taegyoon Kim
2. “Productive Disagreement as a Skill: AI-Supported Training for Political Conversations” by Ethan Busby, Lisa Argyle, Parker Davis, Joshua Gubler, Alex Lyman, and David Wingate
3. “Partisan Bias in Algorithmic Advice: An Audit of Political Advice from Large Language Models” by Jan Zilinsky
4. Data Annotation with Large Language Models: Lessons from A Large Reanalysis Study by Eddie Yang, Zoey Wang, and Carl Zhou

Panel 4 (2:30-4): AI and Public Opinion: Economic Beliefs, Personality, Narratives, and a New Resource

Chair: Eddie Yang

1. “Causal Beliefs about the Economic Effects of AI among Politicians and the Public” by Beatrice Magistro and Sophie Borwein
2. “Who's afraid of ChatGPT? Personality and expectations of AI's effects” by Matthias Haslberger, Patrick Emmenegger, Jane Gingrich, and Jasmine Bhatia
3. “When Heroes Fall Silent: Character Effects and the Fragility of Narrative Structure in AI Policy” by Seulki Lee-Geiller and Michael D. Jones
4. “Addressing Challenges in AI Public Opinion Research: Introducing the AI SHARE Database” by Indira Patil, Chloe Ahn, Kaylyn Jackson Schiff, Daniel Schiff, Zachary Peskowitz, Yu Lu, and Yunzhe Liu

Panel 5 (4:15-5:45): AI and Security: Policing, Surveillance, and Repression

Chair: Susan Aaronson

1. “Function, Not Fiction: Rethinking AI-Military Integration” by Andrew Reddie
2. “AI in Policing and Perceived Legitimacy: Does Gender Representation Make a Difference?” by Canyu Gao and Norma Riccucci
3. “Part of the New Panopticon? Trust and Power Delegation in the Age of AI” by Siwen Xiao and Yaosheng Xu
4. “The Authoritarian’s Dilemma: Why AI is Not a Silver Bullet for Domestic Repression” by Jie Lian and Jason Anastasopoulos