AI Ethics, Governance and Risk Management

Published 09 October, 2024

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.

Submission deadline

30 June 2025

Manuscript submission information

For submission to Risk Sciences, please read the Guide for Authors before submitting. All articles should be submitted online, please select VSI: AI ethics/gov/risk on submission.

Papers will be reviewed following the regular AI Open and Risk Sciences blind review process separately.

Guest Editors

  • Lan Xue

Distinguished Professor of Humanity, Arts and Social Sciences, Schwartzman College, Tsinghua University, China. Email: xuelan@mail.tsinghua.edu.cn

  • Jie Tang

Professor, Department of Computer Science, Tsinghua University, China. Email: jietang@tsinghua.edu.cn

  • Kira Matus

Professor, Division of Public Policy, Division of Environment & Sustainability, Hong Kong University of Science and Technology, Hong Kong, China. Email: kmatus@ust.hk

  • Masaru Yarime

Associate professor, Division of Public Policy, Hong Kong University of Science and Technology, Hong Kong, China. Email: yarime@ust.hk

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