Session
Organizers
Institute for Intelligent Society Governance, Tsinghua University
Center of Science, Technology and Education Policy, Tsinghua University
*Opening Remarks*
LONG Kai, Official from the Cyber Information Development Bureau, Cyberspace Administration of China [onsite]
PENG Gang, Vice President, Tsinghua University [onsite]
*Annual Report Introduction*
SU Jun, Dean, Institute for Intelligent Social Governance, Tsinghua University [onsite]
ZHOU Chaonan, Director of Tsinghua-Range Joint Research Institute for Intelligent Society; Chairman of Range Intelligent Computing Technology Group Co., Ltd [onsite]
*Expert Commentary*
Kevin C. Desouza, Professor of Business, Technology, and Strategy, School of Business, Queensland University of Technology [onsite]
XUE Lan, Senior Professor, Tsinghua University; Dean, Schwarzman College; Member of the Leadership Group, UN Internet Governance Forum (IGF) [onsite]
ZHANG Fang, Associate Professor, Tsinghua University [onsite]
XIE Qijun, Center of Science, Technology and Education Policy, Tsinghua University [onsite]
Ren Tianpei, School of Public Policy and Management, Tsinghua University [onsite]
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. Meanwhile, to cope with the concerns of energy consumption raised by intelligent technologies, twinning of green and digital transition can be achieved by Intelligent Society Governance, namely precise prediction and prescription of environmental impacts and the application of intelligent technologies in a more efficient and environmentally friendly way. 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.
Roundtable
hybrid meeting
In the rapidly evolving landscape of an intelligent society, driven by artificial intelligence (AI) and other cutting-edge technologies, there is a critical need for innovative governance models to address the profound societal impacts these technologies bring. The initiative of Intelligent Society Governance seeks to explore a governance paradigm that is human-centered and adaptable to the rapid changes of the intelligence era. Nations around the world are responding to these challenges and opportunities by implementing pilot demonstrations and policy experiments in areas like AI. This press conference will primarily announce the release of the Research on Intelligent Society Development and Governance (2024). As a bridging work, this research systematically summarizes the research and practical efforts of the past five years, consolidates the latest findings from the research team in this field, and provides in-depth analysis of the frontier trends and challenges facing the development of smart society in the future.
Key topics covered in the executive summary include: 1. Information Cocooning: Examining how technology exacerbates information isolation and societal fragmentation. 2. Social Polarization: Analyzing the impacts of intelligent technologies on social stratification and polarization. 3. Platform Governance: Assessing the roles and impacts of large tech platforms in public governance. 4. AI for Science: Demonstrating how AI is advancing scientific research and development. 5. Twining Digital and Green Transitions: Discussing the relationship between technological advancement and environmental sustainability. 6. Cyberspace Governance: Outlining strategies for maintaining order and security in digital spaces. 7. Labor Digitalization and Societal Changes: Analyzing how digitalization is fundamentally transforming labor markets and work structures. Additionally, the white paper introduces an innovative assessment index system designed to systematically evaluate the social impacts of intelligent technologies, particularly generative AI, across various sectors of society. The launch event for the white paper will invite governments, research institutions, enterprises, and social organizations to discuss their contributions to Intelligent Society Governance and promote knowledge sharing. This event aims to foster a global consensus and collaborative efforts to enhance the digital contributions to innovation, development, and sustainability. It serves not only as a platform for the exchange of governance knowledge but also as a commitment to developing a more humanistic intelligent society globally.