Stanford-Led Task Force Releases AI and Politics Analysis Ahead of Publication
A new volume examining artificial intelligence's impact on elections, democracy, and governance will be released in draft form today, giving policymakers and scholars early access before Cambridge University Press publishes the final book later this year.
Artificial Intelligence, Politics, and Political Science represents the work of more than 50 political scientists coordinated through a task force of the American Political Science Association. Stanford Law School professor Nathaniel Persily and New York University professor Joshua A. Tucker co-chaired the effort.
The timing reflects the subject's urgency. Persily, who teaches Governing Artificial Intelligence at Stanford Law, said the field is moving too fast to wait for traditional publication cycles. "We felt the need to release pre-prints of the chapters well before publication," he said.
What the Volume Covers
The chapters address AI's effects across political science: elections, public opinion, national security, public administration, labor markets, race and gender, and democratic theory. Authors also examine how political scientists themselves will use AI as a research tool and how universities should teach the subject.
This volume builds on earlier work. Persily and Tucker published Social Media and Democracy: The State of the Field and Prospects for Reform in 2020. The new book considers how social media and AI interact, but extends far beyond information ecosystems.
Tucker noted the difference in scope. "Our experience studying social media has helped prepare us to analyze the political implications of this newest technology. However, the impact of AI has the potential to be much more dramatic."
The Legal and Governance Angle
For legal professionals, the volume addresses AI's intersection with democratic institutions and law. Persily specializes in election law, voting rights, and campaign finance regulation-areas where AI introduces new questions about fairness, transparency, and institutional integrity.
The editors frame their approach as balancing "anxiety and excitement" about AI's political effects. They argue that political scientists must join computer scientists and technologists in steering AI development toward socially productive ends.
Stanford contributors include philosophy professor Linda Eggert and communications professor Jennifer Pan, who examined AI-generated political content and its persuasion effects.
Why This Matters Now
The draft publication signals that questions about AI and democracy are no longer theoretical. Political campaigns already use AI. Government agencies deploy it in decision-making. Voters encounter AI-generated content.
Legal professionals working in election law, administrative law, or technology regulation will find the analysis directly relevant to their work. The volume treats AI's political implications as a governance problem requiring input from law, policy, and social science.
The full draft is available for download from the American Political Science Association. The published version will arrive through Cambridge University Press.
For professionals managing AI's legal and regulatory dimensions, this volume provides grounding in how the technology affects the political systems those laws help structure. AI for Legal professionals increasingly means understanding not just how AI works, but how it reshapes the institutions law seeks to govern.
Your membership also unlocks:
