Lan Xue – AI For Good Global Leaders Spotlight

The Scholar Bridging East and West on AI Governance

Artificial intelligence is reshaping geopolitics alongside technology. One of the world’s most important challenges is no longer simply developing more capable AI. It is building a shared framework for governing it. Few scholars have played a more influential role in that effort than Professor Lan Xue, Dean of the Institute for AI International Governance (I-AIIG) at Tsinghua University.

Lan Xue is widely recognized as one of China’s foremost experts on science, technology, and innovation policy. He has spent decades working at the intersection of public policy, international cooperation, and technological transformation. Today, he has become one of the leading advocates for a global AI governance architecture. That architecture would balance innovation with safety, national interests with international cooperation, and technological competition with humanity’s shared future.

His leadership makes him a pivotal participant at the AI for Good Global Summit 2026. There he will contribute to discussions on the future of global AI governance, international standards, and information integrity. These are issues that increasingly define the next chapter of AI development.

From Science Policy to Global AI Governance

Professor Lan’s career has been dedicated to understanding how governments navigate technological change.

He is a Distinguished Professor at Tsinghua University, one of China’s premier academic institutions. He has served in numerous leadership positions there. These include Dean of the School of Public Policy and Management and, now, Dean of Schwarzman College and the Institute for AI International Governance.

His research spans science and technology policy, crisis management, innovation systems, and global governance. That range makes him one of the few scholars equally comfortable discussing engineering, economics, diplomacy, and public administration. This interdisciplinary perspective has become increasingly valuable as artificial intelligence transforms every sector of society.

Helping Shape China’s AI Governance

Lan’s influence extends well beyond academia.

He serves as Chair of China’s National Expert Committee on Next Generation AI Governance. In that role, he advises national policymakers on one of the world’s most ambitious AI strategies.

Yet his work has consistently emphasized that AI governance cannot remain solely a national undertaking. Artificial intelligence crosses borders through data, research, supply chains, markets, and increasingly autonomous systems. Effective governance therefore requires international dialogue alongside domestic policy. That conviction has made Professor Lan one of the most prominent advocates for stronger multilateral cooperation on artificial intelligence.

Building Bridges in a Fragmented World

Geopolitical competition increasingly shapes the global technology landscape. Against that backdrop, Professor Lan has argued that AI governance must become an area of cooperation rather than division.

He has warned that today’s governance landscape remains fragmented. National, regional, and multilateral initiatives often develop independently of one another. Without greater interoperability and sustained dialogue, he believes the world risks inconsistent rules, widening capacity gaps, and increasing mistrust.

Instead, Lan advocates for governance frameworks that are agile enough to keep pace with technological change. They must also remain inclusive enough to reflect diverse national perspectives and development priorities.

AI for Development, Not Just Risk Management

A defining feature of Professor Lan’s work is his insistence that conversations about AI should not focus exclusively on risk.

He acknowledges the importance of AI safety and guardrails. Yet he argues that governance must also enable countries to harness AI for economic development, scientific advancement, public services, and sustainable development.

He has repeatedly emphasized that risk governance and development are not competing priorities. They are mutually reinforcing. Well-designed governance frameworks should reduce harm while expanding opportunities. That is especially true for countries seeking to build their own AI capabilities.

This perspective closely aligns with the mission of the AI for Good Global Summit. The Summit seeks to translate AI innovation into practical solutions for humanity’s most pressing challenges.

Why His Leadership Matters

Artificial intelligence has become one of the defining issues in international relations.

Few individuals are better positioned to bridge the worlds of scholarship, government, and global diplomacy than Professor Lan Xue.

His work reflects an understanding that the future of AI will not be determined by technological leadership alone. It will also depend on whether nations can develop trusted institutions, shared governance frameworks, and sustained international cooperation despite geopolitical differences.

The world is searching for common ground on one of history’s most transformative technologies. At this moment, Professor Lan offers something increasingly rare. His is a vision of AI governance built not around competition alone, but around dialogue, mutual learning, and the shared responsibility to ensure that artificial intelligence advances the common good.