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SPSA 2026: Generative Language Models in Political Science Research
A roundtable of scholars aims to establish validation standards and best practices for using generative AI in political science, addressing the growing need for transparency, replicability, and clear evaluation criteria in this rapidly expanding field.
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APSA 2025: Validation and Generative AI in Political Science Working Group
This working group brings together political scientists from BYU’s AI and Social Science Lab to begin developing shared validation standards for the growing use of generative AI in political science research. It aims to establish best practices for transparency, disclosure, replicability, model evaluation, and task‑specific performance, while building a community committed to improving the quality and credibility of AI‑enabled scholarship.
SAIL (Social Science and AI Lab) is one of the leading research teams in the nation looking at the positive impacts that artifical intelligence can have on civic engagement.
Published Works
Works in Progress
Research papers that we are currently working on
Experimental and Observational Inferences from LLMs *
Explores how large language models can simulate human behavior and produce reliable causal insights, offering new tools and challenges for social science and AI research.
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Prompting Practices for (Social) Scientists
Successful use of large language models depends on thoughtful prompting, since interacting with these systems is more like communicating with people than programming computers, and offers guidelines to help scientists apply them effectively.
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The Sound of Persuasion: Exploring the Embedded Nature of Gender in Political Persuasion with AI
Using AI-generated voices in large-scale experiments, researchers find that while overall persuasiveness does not differ by gender, female-coded voices face penalties when expressing views that conflict with gender stereotypes.
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Artificial Intelligence and Improving Democratic Skills
AI tools that coach and train people to handle divisive political discussions more productively, showing that guided practice can build confidence and reduce conflict in challenging conversations.
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Meet the Research Team
Parker Davis
Parker Davis is a senior political science student and research fellow for the Social Science and AI Lab. His research focuses on American political behavior, particularly the use of LLMs in political persuasion. He is also a fellow at the Center for the Study of Elections and Democracy and studies group identities and political behavior.
Grant Lyon
Grant Lyon is an undergraduate research fellow at SAIL. As a senior Political Science major at Brigham Young University, his research interests include regime change, democratic institutions, and peacemaking.
Rachel Stark
Rachel Stark is a research assistant for the Social Science and AI Lab. She is a senior studying International Relations and German. Her research focuses on the role of emerging technologies in political violence, as well as the foreign policies of states under revolutionary pressure.
Caleb Leach
Caleb Leach is a Sophomore studying Political Science at Brigham Young University. He is particularly interested in political psychology. His research focuses on affect and persuasive effects.
Joshua Gubler
Joshua Gubler is a political psychologist who is also head of the Middle Eastern Studies Program at BYU. His research focuses on depolarization through prejudice reduction, although he writes on a variety of topics, including the role of affect and emotion in shaping human attitudes and behavior.
Ethan Busby
Dr. Ethan C. Busby is a political psychologist and an Assistant Professor of Political Science at Brigham Young University. His research focuses on how democratic societies should respond to extremism, using approaches from political psychology and generative AI tools. These are deeply integrated in his work—political psychology informs his use of AI, and he uses AI tools test theories from political psychology.
Isaac Rallison
Isaac Rallison is a student at Brigham Young University studying Computer Science with an emphasis in Machine Learning. As a research assistant, he is passionate about using data to help make the world a better place.
Lyndsey Facer
Lyndsey Facer is an undergraduate student at Brigham Young University. She is studying political science with an emphasis in International Strategy and Diplomacy. Her research focuses on how AI can improve diplomatic skills.
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