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Member rate £527.50
Non-Member rate £1055.00
Save £45 Loyalty discount applied automatically*
Save 5% on each additional course booked
* If you attended our Methods School during the calendar years 2024 or 2025, you qualify for £45 off your course fee.
Date: Thursday 21 – Friday 22 August and Tuesday 26 – Thursday 28 August 2025
Location: Online and Aristotle University of Thessaloniki
Time: TBC
This course offers an introduction to methods in political philosophy, with a focus on artificial intelligence. It covers and critically engages with existing methods in and approaches to political philosophy, and examines the role of AI in political philosophy, including how AI complicates existing theories of politics and whether AI can be used as a method in political philosophy.
The aim of the course is to guide you through the role that AI can have in political philosophy. It does so through engagement with core ideas in political philosophy methodology, as well as offering practical advice and techniques for applying AI models and tools for your own projects.
By the end of this course, you will have critically examined the range of methods employed by political philosophers and theorists, and whether AI can, or should, be included in those methods.
You will be able to assess the suitability of AI in political philosophy, and whether AI can be beneficial to the discipline. You will also have the skill set to independently evaluate whether AI can be beneficial to your own projects.
Edmund Handby is a Postdoctoral Associate in the Department of Political Science at Duke University. His research examines methodological questions and approaches in the history of political thought, empirically informed political theory, and politics, philosophy, and economics.
Read more about Edmund here.
Prior knowledge about the basics of political theory and philosophy methodology (i.e., conceptual analysis, intuitions, reflective equilibrium) is recommended but not required. Some familiarity with artificial intelligence models and platforms (i.e., ChatGPT) is recommended.
The course includes pre-course assignments as well as daily seminar-type lectures totalling at least three hours. The instructor will conduct live Q&A sessions and offer designated office hours for short one-to-one consultations.