Robin Hanson
Robin Dale Hanson (born August 28, 1959) is an associate professor of economics at George Mason University and a research associate at the Future of Humanity Institute.
Current projects
As of April 2022, Hanson is working on a new book about grabby aliens and the Great Filter, tentatively titled Grabby Aliens: Will We Pass the Great Filter?
digital person | economic growth | grabby aliens | Great Filter | marginal charity | prediction markets | whole brain emulation
Galef, Julia (2015) Most human behavior is signaling (Robin Hanson), Rationally Speaking, May 31.
Robin Dale Hanson (born August 28, 1959) is an associate professor of economics at George Mason University and a research associate at the Future of Humanity Institute of Oxford University..
Muehlhauser, Luke (2013) Robin hansonHanson on serious futurism, Machine Intelligence Research Institute’s Blog, November 1.
Robin Dale Hanson (born August 28, 1959) is an associate professor of economics at George Mason University and a research associate at the Future of Humanity Institute of Oxford University. https://en.wikipedia.org/wiki/Robin_Hanson
Bibliography
Bergal, Asya & Robert Long (2019) Conversation with Robin Hanson, AI Impacts, November 13.
Berger, Alexander (2014) A conversation with Robin Hanson, Open Philanthropy, January 15.
Muehlhauser, Luke (2013) Robin hanson on serious futurism, Machine Intelligence Research Institute’s Blog, November 1.
Radhakrishnan, Anshuman (2020) Less is more: how Robin Hanson’s ideas elegantly frame human behavior, The Politic, June 15.
Wiblin, Robert & Keiran Harris (2018) Why we have to lie to ourselves about why we do what we do, according to Prof Robin Hanson, 80,000 Hours, March 28.
External links
Robin Hanson. Hanson's website. Overcoming Bias. Hanson's blog.
Related entries
digital person | economic growth | marginal charity | prediction markets | whole brain emulation
Current projectsAs of April 2022, Hanson is working on a new book aboutgrabby aliensand theGreat Filter, tentatively titledGrabby Aliens: Will We Pass the Great Filter?