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International AI Safety Report

Yoshua Bengio, Sören Mindermann, Daniel Privitera, Tamay Besiroglu, Rishi Bommasani, Stephen Casper, Yejin Choi, Philip Fox, Ben Garfinkel, Danielle Goldfarb, Hoda Heidari, Anson Ho, Sayash Kapoor, Leila Khalatbari, Shayne Longpre, Sam Manning, Vasilios Mavroudis, Mantas Mazeika, Julian Michael, Jessica Newman, Kwan Yee Ng, Chinasa T. Okolo, Deborah Raji, Girish Sastry, Elizabeth Seger, Theodora Skeadas, Tobin South, Emma Strubell, Florian Tramèr, Lucia Velasco, Nicole Wheeler, Daron Acemoglu, Olubayo Adekanmbi, David Dalrymple, Thomas G. Dietterich, Edward W. Felten, Pascale Fung, Pierre-Olivier Gourinchas, Fredrik Heintz, Geoffrey Hinton, Nick Jennings, Andreas Krause, Susan Leavy, Percy Liang, Teresa Ludermir, Vidushi Marda, Helen Margetts, John McDermid, Jane Munga, Arvind Narayanan, Alondra Nelson, Clara Neppel, Alice Oh, Gopal Ramchurn, Stuart Russell, Marietje Schaake, Bernhard Schölkopf, Dawn Song, Alvaro Soto, Lee Tiedrich, Gaël Varoquaux, Andrew Yao, Ya-Qin Zhang, Fahad Albalawi, Marwan Alserkal, Olubunmi Ajala, Guillaume Avrin, Christian Busch, André Carlos Ponce de Leon Ferreira de Carvalho, Bronwyn Fox, Amandeep Singh Gill, Ahmet Halit Hatip, Juha Heikkilä, Gill Jolly, Ziv Katzir, Hiroaki Kitano, Antonio Krüger, Chris Johnson, Saif M. Khan, Kyoung Mu Lee, Dominic Vincent Ligot, Oleksii Molchanovskyi, Andrea Monti, Nusu Mwamanzi, Mona Nemer, Nuria Oliver, José Ramón López Portillo, Balaraman Ravindran, Raquel Pezoa Rivera, Hammam Riza, Crystal Rugege, Ciarán Seoighe, Jerry Sheehan, Haroon Sheikh, Denise Wong, Yi Zeng

University of Montreal

Stanford University

University of Oxford

Center for AI Safety

January 29, 2025

arXiv.org

98 citations

5 influential

Key Takeaways

Advanced AI systems pose genuine risks that warrant serious attention: The report synthesizes evidence showing that current AI capabilities are advancing rapidly, and these systems can cause real harms—from spreading misinformation to enabling cyberattacks—making safety considerations essential rather than optional.
International cooperation is critical for AI safety: The involvement of 30 nations, the UN, OECD, and EU in commissioning this report demonstrates that AI safety cannot be addressed by individual countries or companies alone; coordinated global approaches are necessary to manage risks effectively.
Diverse expertise is needed to understand AI risks: The report drew from 100 AI experts across multiple disciplines, reflecting the finding that responsible AI requires input from technologists, ethicists, policymakers, and other specialists—no single perspective is sufficient for addressing the full range of safety challenges.
Current evidence on AI safety is still developing: By comprehensively synthesizing existing evidence on capabilities and risks, the report implicitly acknowledges that our understanding of advanced AI systems remains incomplete, suggesting the need for ongoing research and monitoring rather than premature certainty about solutions.
Independent expert judgment matters for credible AI guidance: The report's structure—with experts having "full discretion over content" rather than being constrained by individual governments—suggests that trustworthy AI safety guidance requires independence from political or commercial pressures.

Abstract

The first International AI Safety Report comprehensively synthesizes the current evidence on the capabilities, risks, and safety of advanced AI systems. The report was mandated by the nations attending the AI Safety Summit in Bletchley, UK. Thirty nations, the UN, the OECD, and the EU each nominated a representative to the report's Expert Advisory Panel. A total of 100 AI experts contributed, representing diverse perspectives and disciplines. Led by the report's Chair, these independent experts collectively had full discretion over the report's content.

International AI Safety Report

University of Montreal

Stanford University

University of Oxford

Center for AI Safety

January 29, 2025

arXiv.org

98 citations

5 influential

Key Takeaways

Advanced AI systems pose genuine risks that warrant serious attention: The report synthesizes evidence showing that current AI capabilities are advancing rapidly, and these systems can cause real harms—from spreading misinformation to enabling cyberattacks—making safety considerations essential rather than optional.
International cooperation is critical for AI safety: The involvement of 30 nations, the UN, OECD, and EU in commissioning this report demonstrates that AI safety cannot be addressed by individual countries or companies alone; coordinated global approaches are necessary to manage risks effectively.
Diverse expertise is needed to understand AI risks: The report drew from 100 AI experts across multiple disciplines, reflecting the finding that responsible AI requires input from technologists, ethicists, policymakers, and other specialists—no single perspective is sufficient for addressing the full range of safety challenges.
Current evidence on AI safety is still developing: By comprehensively synthesizing existing evidence on capabilities and risks, the report implicitly acknowledges that our understanding of advanced AI systems remains incomplete, suggesting the need for ongoing research and monitoring rather than premature certainty about solutions.
Independent expert judgment matters for credible AI guidance: The report's structure—with experts having "full discretion over content" rather than being constrained by individual governments—suggests that trustworthy AI safety guidance requires independence from political or commercial pressures.

Abstract

International AI Safety Report

Key Takeaways

Abstract

Paper Info

Responsible AI Topics

Links

International AI Safety Report

Key Takeaways

Abstract

Paper Info

Responsible AI Topics

Links