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United Nations University and Tsinghua University Launch the UNU Hub for Ethical and Responsible AI Development in Beijing

April 2, 2026

Among the first UNU Hubs in Mainland China, shaping global frameworks for responsible and inclusive AI development.

The United Nations University (UNU), via UNU Institute in Macau (UNU Macau), and Tsinghua University have jointly launched the UNU Hub for Promoting Ethical and Responsible Artificial Intelligence Development, hosted by Tsinghua’s Institute for AI International Governance (I-AIIG). Alongside the UNU Hub for AI-Finance in Shanghai, this milestone marks one of the first UNU Hubs in Mainland China, reinforcing UNU’s mission to connect research, policy, and practice in addressing global challenges.

The Establishment Agreement was signed by Prof. Tshilidzi Marwala, Rector of the United Nations University and Under-Secretary-General of the United Nations, and Prof. Bin Yang, Vice Chancellor of Tsinghua University Council.

Prof. Tshilidzi Marwala

Prof. Marwala remarked: “The UNU Hub at Tsinghua University reflects our global commitment to ensuring that AI development is aligned with human values. By joining forces with Tsinghua’s leadership in AI governance research, we are building a platform that will generate practical solutions, cultivate global talent, and strengthen international cooperation. This Hub will help societies address systemic risks and establish trusted frameworks, ensuring AI serves as a force for equity, sustainability, and human well-being.”

Prof. Bin Yang

Prof. Yang remarked: “AI has emerged as a transformative force across all sectors of society. To harness its potential responsibly, research and international cooperation are essential. By integrating Tsinghua’s strengths in AI research with UNU’s global academic leadership, this joint Hub creates a unique opportunity to deepen collaboration between our institutions. Together, we can empower the world through AI and make greater contributions to building a community with a shared future for mankind.”

Promoting Ethical and Responsible AI Development

The mission of the UNU Hub is to deepen scientific understanding of AI’s ethical challenges, develop inclusive governance frameworks, and empower the Global South with practical solutions. Its priorities include risk monitoring, ethical evaluation mechanisms, and targeted capacity-building for policymakers and young leaders, aligned with the UN Sustainable Development Goals.

The Hub will be coordinated by Prof. Liang Zheng, Vice Dean of I-AIIG, and Dr. Jaimee Stuart, Acting Head of Research at UNU Macau.

A Platform for Interdisciplinary Collaboration and Multi-Stakeholder Dialogue

Structured around three core pillars, the Hub will serve as a platform for interdisciplinary collaboration, innovation, and policy engagement.

Ÿ Research, Development, and Innovation: The hub will conduct joint studies on AI risk monitoring, ethical evaluation, and global governance frameworks, with co-publications in UNU-Springer’s Artificial Intelligence and Sustainable Development Book Series.

Ÿ Education and Capacity Building: The hub plans to launch a dual master’s degree program and UNU internships to cultivate diverse AI governance talents, preparing students for careers in UN and international intergovernmental organizations.

Ÿ Outreach, Advocacy, and Impact: Through international forums, contributions to the UNU Global AI Network, and multi-stakeholder dialogues, the hub will amplify knowledge exchange and promote ethical AI practices globally.

Located at Tsinghua’s campus, the Hub is equipped with world-class research and administrative facilities. This hub is expected to act as a catalyst for dialogue and cooperation, helping shape international standards and ensuring that AI development is guided by shared human values. By fostering trust and inclusivity, the Hub aims to make responsible AI governance a cornerstone of sustainable development.

上一条:Former UN Under-Secretary-General Fabrizio Hochschild Visits I-AIIG 下一条:Professor Xue Lan Addresses UN Global Dialogue Consultation on AI Governance

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