Global Priorities Research: Ethics and the (Very Far) Future

(October 2022 Version)

This syllabus grew out of an 8-week graduate course for philosophy students run at Oxford in Trinity 2019, led by William MacAskill and Christian Tarsney—the original course can be found here. It has been revised and expanded to fill a 12-week semester.

About this course

This is a 12-week philosophy course on Global Priorities Research, which asks what we should do with a limited amount of resources if our goal is to do the most good. That is an enormous question, so as a starting point we investigate one prominent view: longtermism (the thesis that our acts’ long-term effects are typically decisive in working out what to do now). Many of us make many of our decisions in light of their short-term and foreseeable consequences; so, if longtermism is true, a radical shift in our moral focus might be required, away from ourselves and towards the vast number of people who may one day exist.

We investigate both arguments for and against longtermism as well as its practical implications. This requires us to engage with active debates in normative ethics, epistemology, decision theory, and political philosophy. Since longtermism is a setting in which many common commitments in those areas clash, it will also serve as a useful testing ground for a range of widely endorsed theories and intuitions. You can download the syllabus for this course here.

Target Audience

The course is aimed at graduate students. It could also be used as upper-undergraduate course, especially for students enrolled in a PPE program or who show an interest in ethics (especially population ethics or formal ethics), decision theory, formal epistemology, or philosophy of public policy.

The course presupposes the ability to read and interpret basic formal material. Most weeks require no more formal ability than is required for, say, a standard introduction to logic or decision theory. The only topic whose core readings go somewhat beyond that is ‘Fanaticism and Paradoxes of Tiny Probabilities’ (Week 5).