Yanzi Xu
Yanzi Xu is a research fellow at the Information Technology and Innovation Foundation. Prior to joining, she worked as a research assistant and a learning support associate in the field of higher education. Yanzi holds a master's degree in learning sciences and technologies from the University of Pennsylvania and a bachelor's degree in TESOL education from the Ohio State University.
Research Areas
Recent Publications
How Experts in China and the United Kingdom View AI Risks and Collaboration
As AI continues to advance, the technology has created many opportunities and risks. Despite significant geopolitical differences, a series of interviews with AI experts in China and the United Kingdom reveals common AI safety priorities, shared understanding of the benefits and risks of open source AI, and agreement on the merits of closer collaboration—but also obstacles to closer partnerships.
The U.S.-China AI Dialogue Would Benefit From More Stakeholders
The United States and China commenced their first intergovernmental dialogue on AI in Geneva on May 14, 2024. This dialogue was a crucial step towards better cooperation between the United States and China on addressing AI risks, but given the continued growth in both commercial and military AI applications, much more collaboration is necessary, including among non-governmental stakeholders.
Explaining China’s Focus on “New Quality Productive Forces”
China is steadily cultivating new quality productive forces to enhance its economy. China’s huge marketplace provides extensive opportunities for testing, applying, and improving new technologies and business models. Other countries should take note and recognize that hidden behind this new buzzword, China has begun to articulate a clear game plan for boosting its techno-economic leadership in the global economy.
What’s Next After the Two Sessions for AI in China
A look at the proposals put forth during China's major annual political convening give hints as to what the government may focus on in the year ahead, which includes AI model development, data sharing, skills development, and safety.