In The Precipice, he offers a startling reassessment of human history, the future we are failing to protect, and the steps we must take to ensure that our generation is not the last.
Decision-making in the face of fundamental moral uncertainty is underexplored terrain: MacAskill, Bykvist, and Ord argue that there are distinctive norms by which it is governed, and which depend on the nature of one's moral beliefs.
How can we do better? While a researcher at Oxford, trying to figure out which career would allow him to have the greatest impact, William MacAskill confronted this problem head on.
In What We Owe The Future, philosopher William MacAskill argues for longtermism, that idea that positively influencing the distant future is a key moral priority of our time.
In this book, leading academics with a wide range of expertise in demography, philosophy, biology, climate science, economics and environmental sustainability explore the contexts, costs and benefits of a burgeoning population on our ...
The first volume of its kind, Effective Altruism brings together contributions from internationally recognised philosophers, economists, and political theorists, who introduce the effective altruism movement and explore in detail issues ...
This is a unique collection of new papers on philanthropy from a range of philosophical perspectives, including intuitionism, virtue ethics, Kantian ethics, utilitarianism, theories of justice, and ideals of personal integrity.
This book focuses on such risks arising from natural catastrophes (Earth-based or beyond), nuclear war, terrorism, biological weapons, totalitarianism, advanced nanotechnology, artificial intelligence and social collapse.
The book is a collection of papers written by a selection of eminent authors from around the world in honour of Gregory Chaitin's 60th birthday. This is a unique volume including technical contributions, philosophical papers and essays.
Featuring contributions from leading experts and thinkers in the theory of artificial intelligence (AI), this is one of the first books dedicated to examining the risks of AI. The book evaluates predictions of the future of AI, proposes ...