Paul Christiano (researcher)

This article will address Paul Christiano (researcher), a topic that has gained relevance in recent years due to its impact on various areas of daily life. Paul Christiano (researcher) is a phenomenon that has aroused the interest of experts and researchers worldwide, generating a broad debate in society. Along these lines, the importance of Paul Christiano (researcher), its evolution over time and the possible future scenarios in which it could influence will be analyzed in depth. In addition, different perspectives on this topic will be presented, as well as possible solutions or approaches to address its implications. Ultimately, this article seeks to offer a comprehensive view on Paul Christiano (researcher), with the aim of providing a deeper understanding of its impact and possible implications in the future.

Paul Christiano
Education
Known for
Scientific career
Institutions
ThesisManipulation-resistant online learning (2017)
Doctoral advisorUmesh Vazirani
Websitepaulfchristiano.com

Paul Christiano is an American researcher in the field of artificial intelligence (AI), with a specific focus on AI alignment, which is the subfield of AI safety research that aims to steer AI systems toward human interests. He formerly led the language model alignment team at OpenAI and became founder and head of the non-profit Alignment Research Center (ARC), which works on theoretical AI alignment and evaluations of machine learning models. In 2023, Christiano was named as one of the TIME 100 Most Influential People in AI (TIME100 AI).

In September 2023, Christiano was appointed to the UK government's Frontier AI Taskforce advisory board. He is also an initial trustee on Anthropic's Long-Term Benefit Trust.

Education

Christiano attended the Harker School in San Jose, California. He competed on the U.S. team and won a silver medal at the 49th International Mathematics Olympiad (IMO) in 2008.

In 2012, Christiano graduated from the Massachusetts Institute of Technology (MIT) with a degree in mathematics. At MIT, he researched data structures, quantum cryptography, and combinatorial optimization.

He then went on to complete a PhD at the University of California, Berkeley. While at Berkeley, Christiano collaborated with researcher Katja Grace on AI Impacts, co-developing a preliminary methodology for comparing supercomputers to brains, using traversed edges per second (TEPS). He also experimented with putting Carl Shulman's donor lottery theory into practice, raising nearly $50,000 in a pool to be donated to a single charity.

Career

At OpenAI, Christiano co-authored the paper "Deep Reinforcement Learning from Human Preferences" (2017) and other works developing reinforcement learning from human feedback (RLHF). He is considered one of the principal architects of RLHF, which in 2017 was "considered a notable step forward in AI safety research", according to The New York Times. Other works such as "AI safety via debate" (2018) focus on the problem of scalable oversight – supervising AIs in domains where humans would have difficulty judging output quality.

Christiano left OpenAI in 2021 to work on more conceptual and theoretical issues in AI alignment and subsequently founded the Alignment Research Center to focus on this area. One subject of study is the problem of eliciting latent knowledge from advanced machine learning models. ARC also develops techniques to identify and test whether an AI model is potentially dangerous. In April 2023, Christiano told The Economist that ARC was considering developing an industry standard for AI safety.

Views on AI risks

He is known for his views on the potential risks of advanced AI. In 2017, Wired magazine stated that Christiano and his colleagues at OpenAI weren't worried about the destruction of the human race by "evil robots", explaining that "hey’re more concerned that, as AI progresses beyond human comprehension, the technology’s behavior may diverge from our intended goals."

However, in a widely quoted interview with Business Insider in 2023, Christiano said that there is a “10–20% chance of AI takeover, many most humans dead.” He also conjectured a “50/50 chance of doom shortly after you have AI systems that are human level.”

Personal life

Christiano is married to Ajeya Cotra of Open Philanthropy.

References

  1. ^ a b c "A.I. has a '10 or 20% chance' of conquering humanity, former OpenAI safety researcher warns". Fortune. Retrieved June 4, 2023.
  2. ^ Piper, Kelsey (March 29, 2023). "How to test what an AI model can — and shouldn't — do". Vox. Retrieved August 4, 2023.
  3. ^ a b c d Henshall, Will (September 7, 2023). "Paul Christiano – Founder, Alignment Research Center". TIME magazine. Retrieved November 16, 2023.
  4. ^ Sibley, Jess (September 10, 2023). "The Future Is Now". Time magazine. Vol. 202, no. 11/12. Retrieved November 16, 2023 – via EBSCOHost.
  5. ^ Skelton, Sebastian Klovig (September 7, 2023). "Government AI taskforce appoints new advisory board members". ComputerWeekly.com. Retrieved November 16, 2023.
  6. ^ a b Matthews, Dylan (September 25, 2023). "The $1 billion gamble to ensure AI doesn't destroy humanity". Vox. Retrieved November 16, 2023.
  7. ^ a b Kehoe, Elaine (October 2008). "Mathematics People – 2008 International Mathematical Olympiad" (PDF). American Mathematical Society. Retrieved November 16, 2023.
  8. ^ Feng, Zumin; Gelca, Razvan; Le, Ian; Dunbar, Steven R. (June 2009). "NEWS AND LETTERS: 49th International Mathematical Olympiad". Mathematics Magazine. 82 (e): 235–238. doi:10.1080/0025570X.2009.11953629. JSTOR 27765911.
  9. ^ "Paul F. Christiano". Association for Computing Machinery Digital Library. Retrieved November 16, 2023.
  10. ^ a b "About the Authors: Theory of Computing: An Open Access Electronic Journal in Theoretical Computer Science". Retrieved November 16, 2023.
  11. ^ "Paul Christiano – Research Associate". The Future of Humanity Institute. Retrieved August 4, 2023.
  12. ^ Hsu, Jeremy (August 26, 2015). "Estimate: Human Brain 30 Times Faster than Best Supercomputers". IEEE Spectrum. Retrieved November 16, 2023.
  13. ^ Paynter, Ben (January 31, 2017). "Take A Chance With Your Charity And Try A Donor Lottery". Fast Company. Retrieved November 16, 2023.
  14. ^ Christiano, Paul F; Leike, Jan; Brown, Tom; Martic, Miljan; Legg, Shane; Amodei, Dario (2017). "Deep Reinforcement Learning from Human Preferences". Advances in Neural Information Processing Systems. 30. Curran Associates, Inc.
  15. ^ Ouyang, Long; Wu, Jeffrey; Jiang, Xu; Almeida, Diogo; Wainwright, Carroll; Mishkin, Pamela; Zhang, Chong; Agarwal, Sandhini; Slama, Katarina; Ray, Alex; Schulman, John; Hilton, Jacob; Kelton, Fraser; Miller, Luke; Simens, Maddie (December 6, 2022). "Training language models to follow instructions with human feedback". Advances in Neural Information Processing Systems. 35: 27730–27744. arXiv:2203.02155.
  16. ^ Metz, Cade (August 13, 2017). "Teaching A.I. Systems to Behave Themselves". The New York Times. Retrieved November 16, 2023.
  17. ^ Irving, G.; Christiano, P.; Amodei, Dario (May 2, 2018). "AI safety via debate". arXiv:1805.00899 .
  18. ^ Wu, Jeff; Ouyang, Long; Ziegler, Daniel M.; Stiennon, Nissan; Lowe, Ryan; Leike, J.; Christiano, P. (September 22, 2021). "Recursively Summarizing Books with Human Feedback". arXiv:2109.10862 .
  19. ^ Christiano, P.; Shlegeris, Buck; Amodei, Dario (October 19, 2018). "Supervising strong learners by amplifying weak experts". arXiv:1810.08575 .
  20. ^ Burns, Collin; Ye, Haotian; Klein, Dan; Steinhardt, Jacob (2022). "Discovering Latent Knowledge in Language Models Without Supervision". arXiv:2212.03827 .
  21. ^ Christiano, Paul; Cotra, Ajeya; Xu, Mark (December 2021). "Eliciting Latent Knowledge: How to tell if your eyes deceive you". Google Docs. Alignment Research Center. Retrieved April 16, 2023.
  22. ^ "How generative models could go wrong". The Economist. April 19, 2023. Retrieved November 16, 2023.
  23. ^ Newman, Lily Hay (September 2017). "Should We Worry? – Will AI Turn Against Me?". Wired. Retrieved November 16, 2023.
  24. ^ Nolan, Beatrice. "Ex-OpenAI researcher says there's a 50% chance AI development could end in 'doom'". Business Insider. Retrieved June 4, 2023.
  25. ^ Piper, Kelsey (June 2023). "A Field Guide to AI Safety". Asterisk Magazine. No. 3. Retrieved November 16, 2023.

External links

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