The main career paths, what to study, where to apply, how to get started, what topics are most in need of research, and what progress has been made in the field so far.
Narrated by AI.
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Outline:
(00:36) Why we wrote this
(03:18) What is an AI policy career?
(04:01) Short-term vs. long-term issues
(06:36) Concrete questions in AI policy we need to answer
(06:49) What capabilities might AIs develop?
(07:42) What are the implications for computer security?
(08:30) What impacts will autonomous weapons have?
(10:38) How can safe deployment of broad-scope AI systems be ensured?
(12:12) What are the roles you want to aim for?
(14:35) AI policy researcher
(22:08) AI policy practitioner
(26:16) Positions you can apply for now
(26:40) How do you position yourself to get into those roles?
(26:45) What fields to learn about
(31:06) How to generally build your career capital
(37:27) Common career transitions
(39:50) Want one-on-one advice on working in AI policy and strategy?
(40:14) Resources
(41:45) Videos
(42:12) Books
(44:31) Articles and reports
(48:04) Law, policy, and ethics of AI
(48:33) Other reading lists
(49:24) Acknowledgments
(49:58) Appendix I
(53:31) Appendix II
(53:37) What are the costs and benefits of various versions of openness from organisations working on AI?
(54:38) Other risks
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