When should an effective altruist donate?
William MacAskill (Global Priorities Institute, Oxford University)
GPI Working Paper No. 8-2019, published as a chapter in Giving in Time
Effective altruism is the use of evidence and careful reasoning to work out how to maximize positive impact on others with a given unit of resources, and the taking of action on that basis. It’s a philosophy and a social movement that is gaining considerable steam in the philanthropic world. For example, GiveWell, an organization that recommends charities working in global health and development and generally follows effective altruist principles, moves over $90 million per year to its top recommendations. Giving What We Can, which encourages individuals to pledge at least 10% of their income to the most cost-effective charities, now has over 3500 members, together pledging over $1.5 billion of lifetime donations. Good Ventures is a foundation, founded by Dustin Moskovitz and Cari Tuna, that is committed to effective altruist principles; it has potential assets of $11 billion, and is distributing over $200 million each year in grants, advised by the Open Philanthropy Project. [...]
Other working papers
A bargaining-theoretic approach to moral uncertainty – Owen Cotton-Barratt (Future of Humanity Institute, Oxford University), Hilary Greaves (Global Priorities Institute, Oxford University)
This paper explores a new approach to the problem of decision under relevant moral uncertainty. We treat the case of an agent making decisions in the face of moral uncertainty on the model of bargaining theory, as if the decision-making process were one of bargaining among different internal parts of the agent, with different parts committed to different moral theories. The resulting approach contrasts interestingly with the extant “maximise expected choiceworthiness”…
Economic growth under transformative AI – Philip Trammell (Global Priorities Institute, Oxford University) and Anton Korinek (University of Virginia)
Industrialized countries have long seen relatively stable growth in output per capita and a stable labor share. AI may be transformative, in the sense that it may break one or both of these stylized facts. This review outlines the ways this may happen by placing several strands of the literature on AI and growth within a common framework. We first evaluate models in which AI increases output production, for example via increases in capital’s substitutability for labor…
Staking our future: deontic long-termism and the non-identity problem – Andreas Mogensen (Global Priorities Institute, Oxford University)
Greaves and MacAskill argue for axiological longtermism, according to which, in a wide class of decision contexts, the option that is ex ante best is the option that corresponds to the best lottery over histories from t onwards, where t is some date far in the future. They suggest that a stakes-sensitivity argument…