Risk Sciences & AI Open
Special Issue on AI Ethics, Governance and Risk Management
This special issue, co-organized by AI Open and Risk Sciences, showcases the latest research at the intersection of AI governance, risk management, ethical implications and ethics education. The issue focuses effective governance and management of AI technologies to support sustainable development while mitigating associated risks and ethical challenges.
We invite submissions on the integration of ethical principles and risk management into robust AI governance frameworks and educational curricula, taking into consideration the balance between innovation and risk, particularly in the context of leveraging AI to advance the United Nations' Sustainability Development Goals (SDGs).
Guest Editors
Prof. Lan Xue
Dr. Lan Xue is a Distinguished Chair Professor and Dean of Schwarzman College at Tsinghua University, where he also serves as the Director of Institute for AI International Governance, Director of China Institute for Science and Technology Policy. His teaching and research interests include global governance, crisis management, and science, technology, and innovation policy. Currently, he also serves as a Counsellor of the State Council, chair of China's National Expert Committee on Next Generation AI governance, and a member of the Standing Committee of Chinese Association of Science and Technology. He is an adjunct professor at Carnegie Mellon University and a non-resident senior fellow of the Brookings Institution.
Dr. Xue is a recipient of Distinguished Young Scholar Award from National Natural Science Foundation of China, Cheung Kong Chair Distinguished Professor of the Ministry of Education, the Fudan Distinguished Contribution Award for Management Science, the Distinguished Contribution Award from Chinese Association for Science of Science and S&T Policy, and the Second National Award for Excellence in Innovation in China.
Email:xuelan@mail.tsinghua.edu.cn
Prof. Jie Tang
Dr. Jie Tang is a Professor of Computer Science of Tsinghua University. He is a Fellow of the ACM, a Fellow of AAAI, and a Fellow of the IEEE. His research interests include artificial general intelligence (AGI), data mining, social networks, machine learning and knowledge graph. Their research received the SIGKDD Test-of-Time Award (Ten-year Best Paper). He also received the SIGKDD Service Award.
Dr. Tang puts all his efforts into artificial general intelligence with a mission toward teaching machines to think like humans. Similar to Open AI's GPT serials, they, together with a big research team, have developed GLM-130B, ChatGLM, CogView&CogVideo, CodeGeex. Proudly, their pretrained base model has been downloaded by more than 1,000 organizations from 70+ countries, and their open ChatGLM-6b has been downloaded by nearly 10,000,000 times all over the world.
Dr. Tang also invented AMiner.org, which has attracted over 30,000,000 users from 220 countries/regions. He served as GC of WWW'23, PC of WWW'22, and EiC of IEEE T. on Big Data and AI Open J. He also received the 2nd National Award for Science&Technology, and NSFC for Distinguished Young Scholar.
Email:jietang@tsinghua.edu.cn
Prof. Kira Matus
Kira Matus received her PhD in Public Policy from Harvard University in 2009. Her primary research focus is at the intersection of innovation, sustainability science, and public policy, focusing on sustainable production-consumption systems. A large portion of her research is on how policy interacts with the development and implementation of "green" technologies in supply chains, especially those that include the production and/or use of chemicals. She looks at how policy can incentivize innovation- but also at how innovation can feed-back into policy, and when new technologies allow for, and sometimes even demand, new approaches to policy on the part of public, private and civil society actors. This includes areas such as certification and voluntary regulatory tools, as examples of some of the different approaches being used to effectively regulate emerging technologies. She also has a longstanding interest in the use of scientific expertise in the policy process, which has led to work on the controversies surrounding efforts to control bovine Tb with the culling badgers in the UK and possums in the NZ. Previous to joining HKUST, Prof. Matus was a Senior Lecturer in Innovation and Sustinability and Deputy Head of Department at UCL STEaPP, and Assistant Professor of Public Policy and Management at the LSE. She was also a Ruffalo Sustainability Fellow in the Sustainability Science Program at Harvard University, where she was project co-director of "Innovation and Access to Technologies for Sustainabile Development."
Email: kmatus@ust.hk
Prof. Masaru Yarime
Masaru YARIME is an Associate Professor in the Division of Public Policy (PPOL) and the Division of Environment and Sustainability (ENVR) and the Director of the MPhil and PhD Programs in Public Policy at the Hong Kong University of Science and Technology (HKUST). He also has appointments as Visiting Associate Professor at the Graduate School of Public Policy (GraSPP) at the University of Tokyo and Honorary Associate Professor at the Department of Science, Technology, Engineering and Public Policy (STEaPP) at University College London.
His research interests focus on public policy, corporate strategy, and institutional design for promoting science, technology, and innovation for sustainability. For the past years, he has been engaged in research and educational activities from interdisciplinary and transdisciplinary perspectives, with an intention to understand the complex interface between engineering and social sciences and the dynamic interactions between technology and institutions in creating sustainability innovation. He is particularly interested in exploring the structure, functions, and evolution of knowledge systems involving various stakeholders in society. He has many experiences of cooperation and collaboration with key stakeholders in academia, industry, government, and civil society in Japan, Europe, and North America as well as in emerging countries in Asia, Africa, and Latin America, which has been contributing to analyzing and implementing innovations addressing multifaceted, inter-dependent sustainability challenges.
Currently, he is serving on the editorial board of international journals, including Sustainability Science, Environmental Science and Policy, Environmental Innovation and Societal Transitions, Frontiers in Sustainable Cities - Innovation and Governance, and Data & Policy.
He received B.Eng. in Chemical Engineering from the University of Tokyo, M.S. in Chemical Engineering from the California Institute of Technology, and Ph.D. in Economics and Policy Studies of Technological Change from Maastricht University in the Netherlands.
Email:yarime@ust.hk
Special issue information
AI Open and Risk Sciences invite scholars, practitioners and policymakers to contribute to a joint special issue dedicated to exploring the intersections of AI ethics, governance, and risk management. This special issue aims to provide a holistic view of how AI technologies can be governed and managed to foster sustainable development while navigating the complexities of associated risks and ethical challenges.
Topics of interest include but are not limited to:
1
Developing Effective AI Governance Frameworks
Discuss the design and implementation of robust governance frameworks for AI technologies, emphasizing transparency, accountability and ethical principles. Explore mechanisms for integrating risk management strategies and enforcing ethical standards in AI applications.
2
Addressing Ethical Challenges in AI Deployment
Analyze techniques for mitigating biases and promoting fairness and inclusivity in AI systems. Examine strategies for safeguarding privacy, ensuring accountability and addressing broader ethical implications of AI-driven decisions.
3
Balancing Innovation with Risk Management
Present methodologies for assessing and managing the diverse risks associated with AI applications, including ethical, social and technical considerations. Offer insights into balancing technological progress with effective risk mitigation and propose frameworks or models that align innovative goals with risk management strategies.
4
AI’s Role in Advancing Sustainable Development
Explore the role of AI technologies in advancing global goals such as education, healthcare, resource management, and climate action. Highlight successful AI applications and their potential benefits for sustainable development, while also discussing associated challenges and ethical implications.
5
Integrating Governance, Risk, and Ethics for Sustainability
Propose comprehensive approaches that integrate AI governance, risk management, and ethical considerations to support sustainable development. Share case studies or practical examples where these integrated approaches have been successfully applied, emphasizing lessons learned and best practices.
6
AI Ethics Education
Develop methodologies for integrating concepts of bias, privacy and security concerns and other ethnical concerns in technology education.
Special Issue submission deadline
30 June 2025
Manuscript submission information
All articles should be submitted online，please scan the QR code below to submit your manuscript and select VSI: AI ethics/gov/risk on submission.
Papers will be reviewed following the regular AI Open and Risk Sciences blind review process separately.
Why publish in this Special Issue?
Special Issue articles are published together on ScienceDirect, making it incredibly easy for other researchers to discover your work.
Special content articles are downloaded on ScienceDirect twice as often within the first 24 months than articles published in regular issues.
Special content articles attract 20% more citations in the first 24 months than articles published in regular issues.
All articles in this special issue will be reviewed by no fewer than two independent experts to ensure the quality, originality and novelty of the work published.
Introduction to AI Open
AI Open is a freely accessible platform to share actionable knowledge and forward-thinking perspectives on the theory of artificial intelligence and its applications. The journal welcomes research articles, review papers, perspectives, short communications and technical notes on all aspects of artificial intelligence and its applications.
AI Open has been indexed in ESCI/Web of Science, Scopus, and EI. The latest CiteScore released in 2024 is 45 and it will receive its first impact factor in 2025.
Editors-in-Chief:
Jie Tang, Tsinghua University, China
Björn W. Schuller, Technical University of Munich, Germany; Imperial College London, UK
Introduction to Risk Sciences
Risk Sciences is a general-interest journal that publishes academic research and industry practices on risks and disruptive technologies across all fields including agriculture, economics, engineering, environmental science, finance, health, law, management, natural sciences, and public administration.
Risk Sciences encompass all scientific areas that study the identification, quantification, analysis, communication and governance of risks and uncertainties across all walks of life and society. It has become a fast-evolving interdisciplinary domain with the increasing sophistication of human civilization at this day and age. An important aim of this journal is to become a leading platform for coalescing research interests across multiple disciplines and building the synergy for the advancement of Risk Sciences.
Executive Editor-in-Chief:
Runhuan Feng, Tsinghua University, China
Editor: Xuehuang Yan
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