Data for Policy 2025 (DfP’25) Conference – Asia Pacific Edition: Advancing AI: Innovations, Governance, and Ethical Frontiers

23-24 October 2025 |  Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University, Shanghai

Call for Abstracts, Full Papers, and Panel Session Proposals – deadline: 23 June 2025

We are thrilled to announce the Data for Policy 2025 Conference – Asia Pacific Edition, to be hosted by the Shanghai Research Institute for Intelligent Autonomous Systems at Tongji University, Shanghai, on  23 – 24 October, 2025.  This conference will bring will bring together researchers, policymakers, practitioners, and industry experts to explore the cutting-edge developments in artificial intelligence and the challenges they present under the theme of “Advancing AI: Innovations, Governance, and Ethical Frontiers”

Amid rapid technological disruption, artificial intelligence (AI) has emerged as a defining force of our era—capable of reshaping economies, redefining industries, and altering societal structures. Yet, as AI’s transformative potential grows, so too do critical questions about its governance, ethical boundaries, and societal impact: can innovation in AI align with human values, or will unchecked advancement exacerbate inequalities and risks? How do we balance breakthroughs in autonomy and creativity with accountability and fairness? How should we objectively assess the tendency of Artificial General Intelligence (AGI)? What are the most pressing vulnerabilities in current AI ethics governance and regulatory frameworks? How can we establish effective global governance mechanisms for artificial intelligence?

 We recognize AI development and governance as a multidimensional challenge that spans technological, ethical, economic, and geopolitical dimensions. The private and public sectors are racing to harness AI’s potential, with governments crafting policies to steer its development and industries investing heavily in frontier applications—from healthcare diagnostics to intelligent autonomous systems. Meanwhile, the rise of generative AI, large-scale models, and adaptive machine learning has intensified debates about data sovereignty, algorithmic bias, and existential risks. Data and collaboration lie at the heart of this transition. Robust frameworks for transparency, safety, and equity are essential to ensure AI serves as a tool for collective progress rather than disruption. From mitigating biases in decision-making to securing global cooperation on governance, data-driven insights and interdisciplinary dialogue can bridge the gap between innovation and responsibility.

 At this nexus, we invite submissions in the form of extended abstracts, full papers, and/or panel session proposals reflecting the conference theme “Advancing AI: Innovations, Governance, and Ethical Frontiers” explored through following core topics:

• Innovation and Challenges in Frontier Technologies of Artificial Intelligence focusing on the latest technological advancements in the field of AI, including generative artificial intelligence, deep learning with large models, reinforcement learning, natural language processing, and computer vision. It will also explore the challenges these technologies face in practical applications, such as data quality, model interpretability, and security issues.
• Current Status and Future of Artificial Intelligence Governance delving into the current state of AI governance, including existing regulations, policies, and standards. The conference will discuss how these governance mechanisms affect the development and application of AI technology and predict future trends.
• Artificial Intelligence Ethics and Social Responsibility focusing on ethical issues in the development of AI technology, including data privacy, algorithmic bias, and the social impact of automation. It will discuss how businesses and society can ensure the responsible use of AI technology and how to promote social welfare and sustainable development through AI technology.
• Applications of Artificial Intelligence Across Industries exploring how AI technology drives innovation and improves efficiency in different industries. The conference will showcase practical applications of AI in fields such as medical diagnostics, autonomous driving, and smart manufacturing, and discuss how these applications change industry landscapes and business models.
• Global Governance and Cooperation in Artificial Intelligence discussing how to build effective AI governance mechanisms in the context of globalization. It will explore how international organizations, governments, and the private sector can cooperate to ensure the healthy development of AI technology and address transnational AI ethical and regulatory issues.

Submissions are encouraged to reflect on the unique challenges or opportunities in each proposer’s region, engaging with local, regional, or global contexts. While our conference theme provides a frame of reference, we welcome contributions on any topic that adds valuable insights to the ongoing data for policy dialogue as aligned with our standard focus areas.

Conference proceedings will be published in the Data & Policy journal published by Cambridge University Press.

For detailed information about the submission and post-acceptance process, please visit the Submission & Guidelines page.

Join us at Shanghai Research Institute for Intelligent Autonomous Systems (SRIIAS), Tongji University in Shanghai, in October 2025 as we explore data’s pivotal role in advancing sustainable and inclusive futures !

For any inquiries or further information, please contact [email protected] and [email protected].