This series of talks will help you find a fulfilling career that makes the world a better place. It's based on five years of research we did alongside academics at Oxford, and is part of our career guide: 80000hours.org/career-guide/ No time right now? We can email you one part each week for eight weeks. https://80000hours.org/newsletter/ This talk was recorded at the University of Cambridge in January 2016, and is given by Benjamin Todd, the CEO and co-founder of 80,000 Hours. Notes and worksheets to go with the video series: http://tinyurl.com/gntweb6

Full article: https://80k.info/ai-profile-video This is our first time producing this kind of video, so we’d really love to hear your feedback! Tell us what you thought of the video here: https://forms.gle/T9JGq5NA8Rrgf7NV6 Or, if you’d like to read more on our research into the world’s most pressing problems and how you can use your career to solve them, find our website at https://80000hours.org. *CHAPTERS* 0:00 Introduction 0:46 Existential risk from AI 02:45 AI systems are “black boxes” 03:26 AI systems might develop secondary goals 05:31 How could an AI disempower humanity? 06:13 Maybe it’ll be fine 06:51 Misuse of AI 07:18 The future is uncertain 08:16 Solutions 09:09 Conclusion *CREDITS* Written and Directed by Phoebe Brooks https://pbrooksfilms.com/ Narrator - Luisa Rodriguez Director of Photography - Jack Worrall Production Designer - Anna Shearing Camera Assistant - Ciaron Craig Gaffer - Alex Cullen Executive Producer - Bella Forristal With thanks to Benjamin Hilton, Arden ​​Koehler, Kempe Gay-Brydges, Nik Mastroddi, Cody Fenwick, Matt Reardon, and Lauren Kuhns. *OUR RESEARCH* Preventing an AI-related catastrophe: https://80000hours.org/problem-profiles/artificial-intelligence/ AI safety technical research: https://80000hours.org/career-reviews/ai-safety-researcher/ AI governance and coordination: https://80000hours.org/career-reviews/ai-policy-and-strategy/ And all our articles and podcasts on AI: https://80000hours.org/topic/world-problems/most-pressing-problems/artificial-intelligence/ Our research principles: https://80000hours.org/about/credibility/research-principles/ *BIBLIOGRAPHY* Hilton (2022) https://80000hours.org/problem-profiles/artificial-intelligence/ Stein-Perlman et al. (2022) https://web.archive.org/web/20221016004611/https://aiimpacts.org/2022-expert-survey-on-progress-in-ai/ Centre for AI Safety (2023) https://www.safe.ai/statement-on-ai-risk Bergal & Beckstead (2021) https://www.alignmentforum.org/posts/CzZ6Fch4JSpwCpu6C/interpretability Carlsmith (2022) https://arxiv.org/abs/2206.13353 Russell (2020) https://80000hours.org/podcast/episodes/stuart-russell-human-compatible-ai/ Turner et al. (2019) https://arxiv.org/abs/1912.01683 Russell (2019) https://people.eecs.berkeley.edu/~russell/hc.html O’Brien & Nelson (2020) https://www.liebertpub.com/doi/10.1089/hs.2019.0122 Garfinkel (2021) https://docs.google.com/document/d/1FlGPHU3UtBRj4mBPkEZyBQmAuZXnyvHU-yaH-TiNt8w/edit Cotra (2020) https://docs.google.com/document/d/1cCJjzZaJ7ATbq8N2fvhmsDOUWdm7t3uSSXv6bD0E_GM/edit#heading=h.x0pkk2mc19ey Deeks et al. (2019) https://heinonline.org/HOL/LandingPage?handle=hein.journals/jnatselp10&div=5&id=&page= Minardi (2020) https://web.archive.org/web/20221013014526/https://www.bbc.com/future/article/20201014-totalitarian-world-in-chains-artificial-intelligence Webb (2023) https://80000hours.org/podcast/episodes/michael-webb-ai-jobs-labour-market/ Winick (2018) https://web.archive.org/web/20221016005338/https://www.technologyreview.com/2018/01/25/146020/every-study-we-could-find-on-what-automation-will-do-to-jobs-in-one-chart/ Dafoe (2018) https://80000hours.org/podcast/episodes/allan-dafoe-politics-of-ai/ Robins-Early (2023) https://www.theguardian.com/us-news/2023/jul/19/ai-generated-disinformation-us-elections Karnofsky (2021) https://web.archive.org/web/20221013011707/https://www.cold-takes.com/transformative-ai-timelines-part-1-of-4-what-kind-of-ai/ International Data Corporation (2021) https://web.archive.org/web/20221016011608/https://www.idc.com/getdoc.jsp?containerId=prUS48127321 Hilton (2023) https://80000hours.org/career-reviews/ai-safety-researcher/ Fenwick (2023) https://80000hours.org/career-reviews/ai-policy-and-strategy/

Of all the problems facing humanity, which should we focus on solving first? In a compelling talk about how to make the world better, moral philosopher Will MacAskill provides a framework for answering this question based on the philosophy of "effective altruism" -- and shares ideas for taking on three pressing global issues. Check out more TED Talks: http://www.ted.com The TED Talks channel features the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and more. Follow TED on Twitter: http://www.twitter.com/TEDTalks Like TED on Facebook: https://www.facebook.com/TED Subscribe to our channel: https://www.youtube.com/TED

If you're lucky enough to live without want, it's a natural impulse to help others in need. But, asks philosopher Peter Singer, what's the most effective way to give charitably? He talks through some surprising thought experiments to help you balance emotion and practicality -- and make the biggest impact with whatever you can share. TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and much more. Find closed captions and translated subtitles in many languages at http://www.ted.com/translate Follow TED news on Twitter: http://www.twitter.com/tednews Like TED on Facebook: https://www.facebook.com/TED Subscribe to our channel: http://www.youtube.com/user/TEDtalksDirector

International cooperation is essential if we want to capture the benefits of advanced AI while minimizing risk. Brian Tse, a policy affiliate at the Future of Humanity Institute, discusses concrete opportunities for coordination between China and the West, as well as how China’s government and technology industry think about different forms of AI risk. To learn more about effective altruism, visit effectivealtruism.org You can read a transcript, or discuss this talk, on the Effective Altruism Forum: https://forum.effectivealtruism.org/posts/szwZkDBtW5sECHucy/brian-tse-sino-western-cooperation-in-ai-safety This talk was filmed at EA Global: San Francisco 2019. You can learn more about these conferences at eaglobal.org

The fight against global catastrophic risks (GCRs) requires international cooperation, yet it is often challenging to foster genuine collaboration among different countries. Jenny Xiao, a PhD student at Columbia University, reconceptualizes international cooperation decisions as a tradeoff between “dual moral obligations” towards the nation and humanity as a whole. How countries think about this tradeoff shapes their willingness to contribute to collective efforts against GCRs. Discuss this talk on the Effective Altruism Forum: https://forum.effectivealtruism.org/posts/6rusvEvSKqXjYM4Dc/jenny-xiao-dual-moral-obligations-and-international