Managing extreme AI risks amid rapid progress-Reference-Cited by-同舟云学术

Managing extreme AI risks amid rapid progress

Published:2024-05-24 Issue:6698 Volume:384 Page:842-845
ISSN:0036-8075
Container-title:Science
language:en
Short-container-title:Science

Author:

Bengio Yoshua¹,Hinton Geoffrey²³,Yao Andrew⁴,Song Dawn⁵,Abbeel Pieter⁵,Darrell Trevor⁵,Harari Yuval Noah⁶,Zhang Ya-Qin⁷,Xue Lan⁸,Shalev-Shwartz Shai⁹,Hadfield Gillian³¹⁰¹¹,Clune Jeff³¹²,Maharaj Tegan³¹¹¹³,Hutter Frank¹⁴¹⁵,Baydin Atılım Güneş¹⁶,McIlraith Sheila²³¹¹,Gao Qiqi¹⁷,Acharya Ashwin¹⁸,Krueger David¹⁹,Dragan Anca⁵,Torr Philip²⁰,Russell Stuart⁵,Kahneman Daniel²¹,Brauner Jan¹⁶¹⁸,Mindermann Sören¹¹⁶

Affiliation:

1. Mila–Quebec AI Institute, Université de Montréal, Montreal, QC, Canada.

2. Department of Computer Science, University of Toronto, Toronto, ON, Canada.

3. Vector Institute, Toronto, ON, Canada.

4. Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China.

5. Department of Electrical Engineering and Computer Science, University of California, Berkeley, Berkeley, CA, USA.

6. Department of History, The Hebrew University of Jerusalem, Jerusalem, Israel.

7. Institute for AI Industry Research (AIR), Tsinghua University, Beijing, China.

8. Institute for AI International Governance, Tsinghua University, Beijing, China.

9. School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel.

10. Faculty of Law, University of Toronto, Toronto, ON, Canada.

11. Schwartz Reisman Institute for Technology and Society, University of Toronto, Toronto, ON, Canada.

12. Computer Science Department, University of British Columbia, Vancouver, BC, Canada.

13. Faculty of Information, University of Toronto, Toronto, ON, Canada.

14. ELLIS Institute Tübingen, Tübingen, Germany.

15. Department of Computer Science, University of Freiburg, Freiburg, Germany.

16. Department of Computer Science, University of Oxford, Oxford, UK.

17. Institute of Political Science, East China University of Political Science and Law, Shanghai, China.

18. RAND Corporation, Santa Monica, CA, USA.

19. Department of Engineering, University of Cambridge, Cambridge, UK.

20. Department of Engineering Science, University of Oxford, Oxford, UK.

21. School of Public and International Affairs, Princeton University, Princeton, NJ, USA.

Abstract

Preparation requires technical research and development, as well as adaptive, proactive governance

Publisher

American Association for the Advancement of Science (AAAS)

Link

https://www.science.org/doi/pdf/10.1126/science.adn0117

Reference15 articles.

1. Center for AI Safety Statement on AI risk (2023); https://www.safe.ai/work/statement-on-ai-risk.

2. Taxonomy of Risks posed by Language Models

3. D. Hadfield-Menell, A. Dragan, P. Abbeel, S. Russell, in Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, C. Sierra, Ed. (International Joint Conferences on Artificial Intelligence, 2017), 220–227.

4. M. Kinniment et al. arXiv:2312.11671 (18 December 2023).

5. I. R.McKenzie. arXiv:2306.09479 (15 June 2023).

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