Pablo | v1.27.0Jul 22nd 2022 | (+22/-23) | ||
Leo | v1.26.0Jun 13th 2022 | (+27) | ||
Leo | v1.25.0Jun 12th 2022 | (+16) | ||
Pablo | v1.24.0Jun 12th 2022 | (+276) | ||
Leo | v1.23.0Apr 12th 2022 | (+21) | ||
Leo | v1.22.0Apr 12th 2022 | (+36) | ||
Pablo | v1.21.0Mar 27th 2022 | (+123) | ||
Pablo | v1.20.0Mar 27th 2022 | (+426) | ||
Leo | v1.19.0Feb 2nd 2022 | (+16/-16) | ||
Leo | v1.18.0Feb 2nd 2022 | (+16) |
Brundage, Miles (2017) Guide to working in AI policy and strategy, 80,000 Hours, June 7.
Cussins, Jessica (2020) Summaries of AI policy resources, Future of Life Institute.
Muehlhauser, Luke (2021) A personal take on longtermist AI governance, Effective Altruism Forum, July 21.
Dafoe, Allan (2020) AI governance: opportunity and theory of impact, Effective Altruism Forum, September 17.
Long-term AI policy strategy research and implementation is one of 80,000 Hours' "priority paths"—the most promising career opportunities the organization has identified so far.[1][2]
Todd, Benjamin (2018) The highest impact career paths our research has identified so far, 80,000 Hours, August 12.
Todd, Benjamin (2021) Long-term AI policy strategy research and implementation, 80,000 Hours, October.
TheAI governance (or the governance of artificial intelligence(or)AI governance)is the study of norms, policies, and institutions that can help humanity navigate the transition to a world with advanced artificial intelligence. This includes a broad range of subjects, from global coordination around regulating AI development to providing incentives for corporations to be more cautious in their AI research.