Session
Organizers
Institute for Intelligent Society Governance, Tsinghua University
GONG Ke, Former President of the World Federation of Engineering Organizations; Executive Director, Chinese Institute of New Generation Artificial Intelligence Development Strategies; Former President of Nankai University [onsite]
HUANG Cui, Professor, Dean of Department of Information Management, Zhejiang University, CHINA [online]
Kevin C. Desouza, Professor of Business, Technology, and Strategy, School of Business, Queensland University of Technology [onsite]
RU Peng, Professor, School of Public Policy and Management, Tsinghua University [online]
Yuming WEI, Assistant Professor, Institute for Intelligent Society Governance, Tsinghua University
Peng RU, Professor, School of Public Policy and Management, Tsinghua University
Tianpei REN
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.
Hybrid meeting
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. 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, privacy protection, and energy consumption.
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. 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 global researchers to delve deeper into shaping an intelligent and trustworthy society.