The International Dialogues on AI Safety (IDAIS) bring together leading scientists from around the world to collaborate on mitigating risks from AI.
Andrew Yao 姚期智
Dean, Institute for Interdisciplinary Information Sciences
Tsinghua University
Distinguished Professor-At-Large
The Chinese University of Hong Kong
Professor, Center for Advanced Study
Tsinghua University
Turing Award Winner
Geoffrey Hinton
Chief Scientific Advisor, Vector Institute for Artificial Intelligence
University of Toronto
Nobel Prize Winner
Turing Award Winner
Yoshua Bengio
Professor
Université de Montréal
Founder and Scientific Director
Mila – Quebec AI Institute
Chair
International Scientific Report on the Safety of Advanced AI
Turing Award Winner
Ya-Qin Zhang 张亚勤
Chair Professor of AI Science
Tsinghua University
Dean of Institute for AI Industry Research (AIR)
Tsinghua University
Former President
Baidu
Stuart Russell
Professor and Smith-Zadeh Chair in Engineering
University of California, Berkeley
Founder of Center for Human-Compatible Artificial Intelligence (CHAI)
University of California, Berkeley
Gillian Hadfield
Bloomberg Distinguished Professor of AI Alignment and Governance
Johns Hopkins University
Professor of Law and Strategic Management
University of Toronto
Canada CIFAR AI Chair, Vector Institute for Artificial Intelligence
University of Toronto
Mary Robinson
Former President of Ireland
Former United Nations High Commissioner for Human Rights
Adjunct Professor in Climate Justice
Trinity College Dublin
Xue Lan 薛澜
Dean, Schwarzman College
Tsinghua University
Director, Institute for AI International Governance (I-AIIG)
Tsinghua University
Mariano-Florentino (Tino) Cuéllar
President
Carnegie Endowment for International Peace
Director of Freeman Spogli Institute
Stanford University
Former California Supreme Court Justice
Dawn Song
Professor, Department of Electrical Engineering and Computer Sciences
University of California, Berkeley
Founder
Oasis Lab
Max Tegmark
Professor, Center for Brains, Minds and Machines (CBMM)
Massachusetts Institute of Technology (MIT)
President and Co-founder
Future of Life Institute
Fu Ying 傅莹
Former Vice Minister of Foreign Affairs of People's Republic of China
Chairperson, Center for International Security and Strategy (CISS)
Tsinghua University
Honorary Dean, Institute of International Relations
Tsinghua University
Zeng Yi 曾毅
Director, International Research Center for AI Ethics and Governance
Chinese Academy of Sciences (CAS)
Deputy Director, Research Center for Brain-inspired Intelligence
Chinese Academy of Sciences (CAS)
Member, High-level Advisory Body on AI
United Nations
Kwok-Yan Lam
Executive Director
Digital Trust Centre (DTC) and Singapore’s AI Safety Institute
Associate Vice President
Nanyang Technological University (NTU)
Professor, School of Computer Science and Engineering
Nanyang Technological University (NTU)
Tang Jie 唐杰
Chief Scientist
Zhipu AI
Professor of Computer Science
Tsinghua University
Ed Felten
Robert E. Kahn Professor of Computer Science and Public Affairs
Princeton University
Founding Director, Center for Information Technology Policy
Princeton University
Dawn Nakagawa
President
The Berggruen Institute
Robert Trager
Co-Director, Oxford Martin AI Governance Initiative
University of Oxford
International Governance Lead
Centre for the Governance of AI
Huang Tiejun 黄铁军
Chairman
BAAI
Professor at the School of Computer Science
Peking University
He Tianxing 贺天行
Assistant Professor, Institute for Interdisciplinary Information Sciences (IIIS)
Tsinghua University
Researcher
Shanghai Qi Zhi Institute
Roger Grosse
Associate Professor of Computer Science
University of Toronto
Founding Member, Vector Institute for Artificial Intelligence
University of Toronto
Lu Chaochao 陆超超
Research Scientist
Shanghai AI Laboratory
Benjamin Prud’homme
Vice-President of Policy, Safety and Global Affairs
Mila-Québec AI Institute
Yang Yaodong 杨耀东
Assistant Professor, Institute for Artificial Intelligence
Head, PKU Alignment and Interaction Research Lab (PAIR)
Peking University
Sam Bowman
Member of Technical Staff and Co-Director for Alignment Science
Anthropic
Associate Professor of Data Science, Linguistics, and Computer Science
New York University
Ong Chen Hui
Assistant Chief Executive
Infocomm and Media Development Authority (IMDA) of Singapore
Wang Zhongyuan 王仲远
Director
BAAI
Dan Baer
Senior Vice President for Policy Research
Carnegie Endowment for International Peace
Sebastian Hallensleben
Chair
CEN-CENELEC JTC 21
Head of Digitalisation and Artificial Intelligence
VDE Association for Electrical Electronic and Information Technologies
Member
Expert Advisory Board of the European Union
Karine Perset
Acting Head, AI and Emerging Digital Technologies Division
Organisation for Economic Co-operation and Development (OECD)
Professor, Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology (MIT)
Zhang HongJiang 张宏江
Founding Chairman
BAAI
Foreign member
US National Academy of Engineering
Sana Khareghani
Professor of Practice in AI
King’s College London
AI Policy Lead
Responsible AI UK
Former Head of UK Government Office for Artificial Intelligence
Yang Chao 杨超
Research Scientist
Shanghai AI Laboratory
Dylan Hadfield-Menell
Assistant Professor, Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology (MIT)
Algorithmic Alignment Group Lead, Computer Science and AI Laboratory (CSAIL)
Massachusetts Institute of Technology (MIT)
Early Career Fellow
AI2050
Adam Gleave
Founder and CEO
FAR AI
Cynthia Chen 陈欣
PhD Student
ETH Zurich
Yang-Hui He 何杨辉
Fellow
London Institute
Zhang Peng 张鹏
Founder and CEO
Zhipu AI
Li Hang 李航
Head of Research
Bytedance
Fellow
ACM, ACL, and IEEE
Tian Tian 田天
CEO
RealAI
Tian Suning, Edward 田溯宁
Founder and Chairman
China Broadband Capital Partners LP (CBC)
Chairman
AsiaInfo Group
Toby Ord
Senior Researcher
Oxford University
Elizabeth Seger
Director of Digital Policy
Demos
Fynn Heide
Executive Director
Safe AI Forum
Conor McGurk
Managing Director
Safe AI Forum
Saad Siddiqui
Senior AI Policy Researcher
Safe AI Forum
Isabella Duan
AI Policy Researcher
Safe AI Forum
About
The International Dialogues on AI Safety (IDAIS) bring together leading scientists from around the world to collaborate on mitigating risks from AI. The inaugural IDAIS event in October 2023 was convened by Turing Award winners Yoshua Bengio and Andrew Yao, UC Berkeley professor Stuart Russell, OBE, and founding Dean of the Tsinghua Institute for AI Industry Research Ya-Qin Zhang. IDAIS is supported by the Safe AI Forum, an organization co-founded by Fynn Heide and Conor McGurk. The Safe AI Forum does not receive funding from any corporate AI labs.
IDAIS-Venice, 2024
Western and Chinese scientists: AI safety a “global public good”, global cooperation urgently needed.
Leading global artificial intelligence (AI) scientists gathered in Venice in September where they issued a call urging governments and researchers to collaborate to address AI risks. Computer scientists including Turing Award winners Yoshua Bengio and Andrew Yao, as well as UC Berkeley professor Stuart Russell, OBE and Zhang Ya-Qin, Chair Professor at Tsinghua University, convened for the third in a series of International Dialogues on AI Safety (IDAIS), hosted by the Safe AI Forum (SAIF) in collaboration with the Berggruen Institute.
The event took place over three days at the Casa dei Tre Oci in Venice and focused on safety efforts around so-called artificial general intelligence. The first day involved a series of discussions centered around the nature of AI risks and the variety of strategies required to counter them. Session topics included early warning thresholds, AI Safety Institutes, verification and international governance mechanisms.
These discussions became the basis of a consensus statement signed by the scientists, centered around the idea that AI safety is a “global public good”, suggesting that states carve out AI safety as a cooperative area of academic and technical activity. The statement calls for three areas of policy and research. First, they advocate for “Emergency Preparedness Agreements and Institutions”, a set of global authorities and agreements which could coordinate on AI risk. Then, they suggest developing “Safety Assurance Frameworks”, a more comprehensive set of safety guarantees for advanced AI systems. Finally, they advocate for more AI Safety funding and research into verification systems to ensure that safety claims made by developers or states are trustworthy. The full statement can be read below.
On the second day, scientists were joined by a group of policymakers, former President of Ireland Mary Robinson and other experts. The scientists emphasized the urgency of employing these proposals given the rapid pace of AI development. The statement was presented directly to the policymakers, and the group strategized about how the international community may work together to accomplish these goals.
Statement
The global nature of AI risks makes it necessary to recognize AI safety as a global public good"
由于人工智能带来的风险具有全球性，我们必须将人工智能安全视为全球公共产品"
IDAIS-Beijing, 2024
International scientists meet in Beijing to discuss extreme AI risks, recommend red lines for AI development and international cooperation.
Leading global AI scientists convened in Beijing for the second International Dialogue on AI Safety (IDAIS-Beijing). During the event, computer scientists including Turing Award winners Yoshua Bengio, Andrew Yao, and Geoffrey Hinton and more worked with governance experts such as Tsinghua professor Xue Lan and University of Toronto professor Gillian Hadfield to chart a path forward on international AI safety.
The event took place over two days at the Aman Summer Palace in Beijing and focused on safely navigating the development of Artificial General Intelligence (AGI) systems. The first day involved technical and governance discussions of AI risk, where scientists shared research agendas in AI safety but also potential regulatory regimes. The discussion culminated in a consensus statement recommending a set of red lines for AI development to prevent catastrophic and existential risks from AI. In the consensus statement, the scientists advocate for prohibiting development of AI systems that can autonomously replicate, improve, seek power or deceive their creators, or those that enable building weapons of mass destruction and conducting cyberattacks. Additionally, the statement laid out a series of measures to be taken to ensure those lines are never crossed. The full statement can be read below.
On the second day, the scientists met with senior Chinese officials and CEOs. The scientists presented the red lines proposal and discussed existential risks from artificial intelligence, and officials expressed enthusiasm about the consensus statement. Discussions focused on the necessity of international cooperation on this issue.
Statement
In the depths of the Cold War, international scientific and governmental coordination helped avert thermonuclear catastrophe. Humanity again needs to coordinate to avert a catastrophe that could arise from unprecedented technology.”
在过去冷战最激烈的时候，国际科学界与政府间的合作帮助避免了热核灾难。面对前所未有的技术，人类需要再次合作以避免其可能带来的灾难的发生.
IDAIS-Oxford, 2023
In the Inaugural IDAIS, International Scientists Call for Global Action on AI Safety.
Ahead of the highly anticipated AI Safety Summit, leading AI scientists from the US, the PRC, the UK and other countries agreed on the importance of global cooperation and jointly called for research and policies to prevent unacceptable risks from advanced AI.
Prominent scientists gathered from the USA, the PRC, the UK, Europe, and Canada for the first International Dialogues on AI Safety. The meeting was convened by Turing Award winners Yoshua Bengio and Andrew Yao, UC Berkeley professor Stuart Russell, OBE, and founding Dean of the Tsinghua Institute for AI Industry Research Ya-Qin Zhang. The event took place at Ditchley Park near Oxford. Attendees worked to build a shared understanding of risks from advanced AI systems, inform intergovernmental processes, and lay the foundations for further cooperation to prevent worst-case outcomes from AI development.
Statement
Coordinated global action on AI safety research and governance is critical to prevent uncontrolled frontier AI development from posing unacceptable risks to humanity.”
在人工智能安全研究和治理方面协调一致的全球行动对于防止不受控制的前沿人工智能发展给人类带来不可接受的风险至关重要。”
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