Managing extreme AI risks amid rapid progress

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)

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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