SafetyTrustworthinessAccountabilitycs.CY
The 2026 Singapore Consensus on Global AI Safety Research Priorities
Stephen Casper, Oskar Galeev, Yoshua Bengio, Mohan Kankanhalli, Lee Wan Sie, Tegan Maharaj, Chris Meserole, Luke Ong, Stuart Russell, Dawn Song, Max Tegmark, Brian Tse, Xue Lan, Andrew Yao, Zhang Ya-Qin, Zhou Bowen, Imane Bello, Kwan Yee Ng, Vanessa Wilfred, Erica Liaw, Lee Chein Inn, Lin Wanxuan, Ng En Qi, Jonathan Lee, José Villalobos, Abhishek Aggarwal, Adam Gleave, Alan Chan, Alex Leung, Alvin Kwock, Anthony Tung, Arisa Siong, Arthur Tea, Ben Bucknall, Benjamin Weinstein-Raun, He Bing Sheng, Liu Bo, Bryan Kian Hsiang Low, Chris Ngo, Clement Neo, Cyrus Hodes, Dan Hendrycks, Daniel Ross, Liu Dapeng, Denise Wong, Djordje Zikelic, Elham Tabassi, Fabien Le Voyer, Fazl Barez, Gabriel Nicholas, Henry Papadatos, Jaan Tallinn, James Petrie, Xu Jia, Shao Jing, Jonathan Barry, Julia Chen, Sun Jun, Karson Elmgren, Kat Lyness, Katherine Lee, Kristy Loke, Lee Kwee Geak, Leslie Teo, Meng Ling Yu, Lisa Soder, Madhulika Srikumar, Malcolm Murray, Mark Brakel, Mark Nitzberg, Mary Phuong, Matthew Jagielski, Max Fenkell, Miro Plueckebaum, Kim Myuhng Joo, Hu Naying, Neil Davison, Nicolas Miailhe, Niki Iliadis, Nur Syahidah Sahrom, Ong Chen Hui, Pradeep Varakantham, Rebecca Finlay, Renata Dwan, Robert Opp, Rumman Chowdhury, Saad Siddiqui, Sabina Nong, Sam Ramadori, Sami Jawhar, Samuel Boger, Sara Hooker, Ying Shao Wei, Sebastian Hallensleben, Shinyuk Kang, Sophie Toura, Sreejith Balakrishnan, Stephanie Kasaon, Stephen Clare, Summer Yue, Sunny Yuqing Sun, Supheakmungkol Sarin, Tian Tian, Tim Schreier, Tori Westerhoff, Urvashi Aneja, Wayne Tee, Lu Wei, Xu Wei, Zhang Wenxuan, Hu Xia, Yang Xiaofang, Pan Xudong, Xiao Yajun, Yifan Jia, Tan Yong Khiam, Yuejin Du, Yuma Kurihara, Tan Zhi Xuan, Sören Mindermann
July 9, 2026
Key Takeaways
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Autonomous AI agents pose emerging risks that require urgent attention: The consensus identifies managing risks from increasingly autonomous AI systems as a critical priority, reflecting concerns that as AI systems gain more independent decision-making capabilities, new safety challenges emerge that weren't priorities in previous years.
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A trusted AI ecosystem requires international collaboration: The 2026 Consensus was developed by over 100 contributors across 13 countries, including frontier AI developers, government safety institutes, academia, and civil society, demonstrating that responsible AI development depends on coordinated global effort rather than isolated national approaches.
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Societal resilience is now central to AI safety research: The report marks a shift in focus by dedicating specific attention to "societal resilience," suggesting that technical safety measures alone are insufficient—communities and institutions must also be prepared to adapt to and manage AI's real-world impacts.
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Real-world incidents are driving safety priorities: The abstract notes that "a growing number of real-world incidents" have made establishing a trusted AI ecosystem essential, indicating that safety concerns are no longer theoretical but grounded in actual problems already occurring as AI systems are deployed.
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Continuous refinement of safety priorities is necessary: By building on the 2025 report and updating priorities for 2026, the consensus acknowledges that AI safety research must remain dynamic and responsive as the technology and its risks evolve.