Stanford Root

Schedule

Stanford Root

Schedule

POLISCI 294

AI Policy Development: Leveraging Social Science to Ensure Responsible Generative AI

UNITS:5
GRADING:Letter (ABCD/NP)
LEVEL:Graduate
GER:—

How should frontier AI companies decide what their models may enable, who should have access, and when the state or public should have a say? In this policy practicum, students work as product-policy advisors to a frontier AI company, drawing on social science research, political theory, and historical cases to develop feasible recommendations for real AI policy problems. The course treats decisions about model behavior, access, deployment, privacy, safety, and enforcement as a form of governance that allocates power among companies, citizens, and the state. Historical cases including the printing press, nuclear technology, railroads, radio, pharmaceutical regulation, algorithmic trading, and the Crypto Wars illuminate recurring dilemmas that students apply to contemporary AI products. Students produce policy memos and participate in a multi-stakeholder simulation based on a current AI product-policy question. This course is a Capstone course for the Political Science Major. Enrollment in the class is prioritized for Political Science Seniors.

Syllabus for selected term:
View Autumn 2026 Syllabus

Sections

1 Term
Seminar 1Open
ID: 25766
0 / 15 enrolled
DAYS:Friday
TIME:9:30 AM – 12:20 PM
LOCATION:Encina West 108
INSTRUCTOR:
Fanlo, Abby
5units

POLISCI 294: AI Policy Development: Leveraging Social Science to Ensure Responsible Generative AI

5 units · Letter (ABCD/NP)

How should frontier AI companies decide what their models may enable, who should have access, and when the state or public should have a say? In this policy practicum, students work as product-policy advisors to a frontier AI company, drawing on social science research, political theory, and historical cases to develop feasible recommendations for real AI policy problems. The course treats decisions about model behavior, access, deployment, privacy, safety, and enforcement as a form of governance that allocates power among companies, citizens, and the state. Historical cases including the printing press, nuclear technology, railroads, radio, pharmaceutical regulation, algorithmic trading, and the Crypto Wars illuminate recurring dilemmas that students apply to contemporary AI products. Students produce policy memos and participate in a multi-stakeholder simulation based on a current AI product-policy question. This course is a Capstone course for the Political Science Major. Enrollment in the class is prioritized for Political Science Seniors.

Offered in Autumn 2026 at Stanford University.

Autumn 2026 sections

  • Seminar — Friday 9:30 AM – 12:20 PM — Encina West 108 — Fanlo, Abby (Graduate)

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