IGF 2023 Open Forum #30 Intelligent Society Governance Based on Experimentalism

Monday, 9th October, 2023 (08:45 UTC) - Monday, 9th October, 2023 (09:45 UTC)
WS 7 – Room K

Panel - 60 Min


The accelerated evolution of an intelligent society, driven by a combination of AI and other emerging technologies, urgently requires an innovative governance model. This governance model should be experimental and iterative, capable of responding to rapid changes in society. Currently, both developed and developing countries have carried out a variety of pilot demonstrations and policy experiments in emerging areas such as AI. Therefore, this forum will discuss how the governance model can be improved in a cross-country comparison and how to keep pace with the development and application of AI.

1) To facilitate interaction between onsite and online speakers and attendees, we will: • Encourage online attendees to submit questions via chat ahead of time that can be posed to onsite speakers during the Q&A session. We will release the background guide two weeks before the forum. • Monitor the online chat during presentations and share relevant questions or comments with onsite speakers and attendees to enable real-time feedback and discussion. • Set aside time at the end of the session for an open Q&A where online participants can engage directly via audio or video. Onsite attendees can also ask follow up questions to online participants. 2) To ensure the best experience for all participants, we will: • Choose an interactive online platform that allows speakers and attendees to easily share video, audio, slides, and chat. Options like Zoom, Google Meet and Tencent meeting would work well. • Frame the overall structure and flow of the session to seamlessly integrate both onsite and online elements. Onsite presentations should be streamed for online viewers and time should be reserved for online Q&A and discussion. • Provide clear guidance on participation and technology usage to all attendees ahead of time. Troubleshoot any technical issues behind the scenes to avoid disruption. • Include interactive online elements like live polling, Q&A, breakout discussions to complement onsite activities. This keeps all attendees engaged. 3) We plan to use the following tools and platforms to increase participation: • An online video conferencing tool (as mentioned above) to connect onsite and online attendees • Audience response tools like Mentimeter, Poll Everywhere, or Slido to gauge attendee opinions in real-time • Online collaboration platforms such as Google Docs or Padlet where attendees can share comments and ask questions • Social media like Twitter and Weibo for attendees to continue the conversation online using an event hashtag • Post-event online surveys to collect feedback and insights from all attendees to improve future events In summary, facilitating seamless interaction between onsite and online participants requires choosing an effective technology platform, careful planning and management before and during the event, providing strong guidance to participants, and incorporating complementary online tools to increase engagement. Striking a good balance between the onsite and online experience will lead to a successful hybrid event.


🔒Bureau of Information Technology Development, Cyberspace Administration of China
Co-organizers: Su Jun, Dean of the Institute of Intelligent Society Governance, Tsinghua University Zhang Fang, Associate Director of Center for Science, Technology & Education Policy, Tsinghua University Shi Guangyu, Research Assistant of the Institute of Intelligent Society Governance, Tsinghua University Ren Tianpei, Phd Candidate of School of Public Policy and Management, Tsinghua University


Zhang Peng, Deputy Director General of Information Technology Bureau, Cyberspace Administration of China [online] Su Jun, Dean of the Institute of Intelligent Society Governance, Tsinghua University [online] Huang Cui, Professor, Dean of the Institute of National Intelligent Society Governance, Zhejiang University [onsite] Zhu Songchun, Director, Institute of Artificial Intelligence, Peking University [online] Kelly Sims Gallagher, Professor of Energy and Environmental Policy, Tufts University / Former Senior Policy Advisor to the White House Office of Science and Technology Policy [onsite] Simon Jonathan Marvin, Professor Urban Institute, University of Sheffield [onsite] Zhang Xiao, VP of China Internet Network Information Center(CNNIC) and the Executive Deputy Director of China IGF [onsite]

Onsite Moderator

Zhang Fang, Associate Director of Center for Science, Technology & Education Policy, Tsinghua University

Online Moderator

Shi Guangyu, Research Assistant of the Institute of Intelligent Society Governance, Tsinghua University


Ren Tianpei, Phd Candidate of School of Public Policy and Management, Tsinghua University


1. No Poverty
3. Good Health and Well-Being
4. Quality Education
5. Gender Equality
8. Decent Work and Economic Growth
9. Industry, Innovation and Infrastructure
10. Reduced Inequalities
11. Sustainable Cities and Communities
16. Peace, Justice and Strong Institutions

Targets: The advent of intelligent technologies has the potential to significantly contribute to the achievement of the Sustainable Development Goals (SDGs) by enhancing the governance of societies. Intelligent society governance refers to the integration of advanced technologies, such as artificial intelligence, big data analytics, and Internet of Things, into decision-making processes and public administration systems. Here, we will elaborate on how intelligent society governance can contribute to the SDG objectives. SDG 1/3/4/8/9/11/16: Intelligent society governance enhances data-driven decision making by leveraging advanced data analytics to extract valuable insights from vast amounts of data. By analyzing social, economic, and environmental data, decision-makers can gain a comprehensive understanding of complex issues and develop evidence-based policies. This data-driven approach improves the efficiency and effectiveness of decision-making, leading to better-informed strategies for achieving SDG targets. SDG 1/3/4/5/10: Intelligent systems can optimize resource allocation and utilization, which is crucial for sustainable development. By utilizing predictive algorithms and machine learning techniques, governments can identify areas of need, allocate resources accordingly, and prioritize interventions where they are most needed. This targeted resource allocation ensures that limited resources are utilized efficiently, maximizing the impact of initiatives aimed at SDG goals, such as poverty reduction, healthcare provision, and education access. SDG 8/9/11/16: Intelligent society governance can facilitate greater citizen participation and engagement in decision-making processes. Through digital platforms and online tools, governments can gather public input, solicit feedback, and enable citizens to actively contribute to policy formulation and implementation. This participatory approach fosters inclusivity, transparency, and accountability in governance, aligning with the SDG principle of leaving no one behind. SDG 1/3/16: Intelligent technologies can enable the development of early warning systems for various challenges, including natural disasters, climate change impacts, and public health crises. By integrating real-time data, sensor networks, and predictive analytics, governments can proactively identify and respond to potential risks. This proactive approach enhances resilience, minimizes the negative impacts of emergencies, and contributes to SDG targets related to climate action, disaster risk reduction, and public health. In conclusion, intelligent society governance offers significant potential for advancing the SDGs. By leveraging data-driven decision-making, optimizing resource allocation, promoting citizen engagement, and enabling early warning systems, intelligent technologies contribute to more effective and efficient governance, ultimately driving progress towards the SDG objectives.