Session
Classroom
Duration (minutes): 60
Format description: We prefer hosting a panel due to several reasons. This session mainly focuses on expertise showcasing. Experts are from a diverse group (e.g., governmental officials, scholars, entrepreneurs) and will share their insights and expertise on a particular topic. Each panelist can provide a unique perspective or bring specific knowledge to the audience, creating a more comprehensive and informative discussion.
Besides, panels typically have a moderator who can guide the conversation and ensure that all panelists have an opportunity to share their viewpoints. This structure helps maintain a more organized and cohesive discussion, allowing for better flow and clarity of ideas.
Moreover, we believe that panel format may be more friendly to some of our audience from non-native English speaking countries. Panel format encourages audience engagement through Q&A sessions. This allows attendees to interact directly with panelists, seek clarifications, and gain further insights.
Title: Major challenges and gaps in intelligent society governance
In the nascent phase of the latest technological revolution, transformative technologies like artificial intelligence are unleashing significant energy. They are continually fostering the emergence of new academic frontiers, technological domains, and innovative modalities. These technologies are closely integrated with the socio-economic developmental needs, propelling a transformative shift towards an intelligent society. AI is gradually reshaping mechanisms of knowledge production, transmission, and verification, altering trust mechanisms, and even deconstructing the processes of authority formation. The rapid pace of technological advancement not only challenges traditional knowledge and authority structures but also sparks global debates and discussions on moral ethics, data security, and privacy protection.
This session, grounded in a global perspective, deeply explores the latest trends in Intelligent Society Governance, the primary challenges faced, and the future opportunities from the aspect of government international cooperation. The session aims to address two main questions: 1) How will society adapt to the increasingly complex and accelerated changes brought about by intelligent technologies? 2) How can we collaboratively foster the development and application of intelligent technologies while respecting cultural and legal differences among countries?
We welcome multi-stakeholders to speak on issues related to institutional adjustments, policy tool transformations, and value orientations in Intelligent Society Governance. Here, we urge participants to share their wisdom and experiences and to engage in deep discussions on the potential challenges and opportunities on the path of Intelligent Society Governance from an international viewpoint. Additionally, pilot experiments and grassroots innovations are also focal topics, pointing toward a more sensitive, diverse, and open approach to Intelligent Society Governance.
The session is dedicated to fostering collective reflection among nations on coordinating the advancement of artificial intelligence technology with public values, and promoting a fair, sustainable, and more humane future for an intelligent society. By facilitating cross-national and interdisciplinary exchanges, the session aims to outline future action directions for practitioners while calling on researchers to delve deeper into shaping an intelligent and trustworthy society.
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 session. • 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.
Institute of Intelligent Society Governance, Tsinghua University
Zhang Fang, Center of Science, Technology and Education Policy, Tsinghua University, CHINA [onsite, moderator]
Shi Guangyu, Institute of Intelligent Society Governance, Tsinghua University, CHINA [online, moderator]
Ren Tianpei, School of Public Policy and Management, Tsinghua University, CHINA [onsite, rapporteur]
Su Jun, Institute of Intelligent Society Governance, Tsinghua University, CHINA [online]
Huang Cui, Institute of National Intelligent Society Governance, Zhejiang University, CHINA [online]
Bao Hujun, Zhejiang Lab, CHINA [onsite] Kelly Sims Gallagher, The Fletcher School, Tufts University, US [onsite]
Ora-orn Poocharoen, School of Public Policy, Chiang Mai University, THAILAND [onsite]
Wei Yuming, Center of Science, Technology and Education Policy, Tsinghua University, CHINA [onsite]
Zhang Fang
Shi Guangyu
Ren Tianpei
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.