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. Fostering a closer relationship could help both countries achieve their objectives of developing innovative, safe, and reliable AI.
How Experts in China and the United Kingdom View AI Risks and Collaboration
Daniel Castro
Daniel Castro is the director of the Center for Data Innovation and vice president of the Information Technology and Innovation Foundation. Mr. Castro writes and speaks on a variety of issues related to information technology and internet policy, including data, privacy, security, intellectual property, internet governance, e-government, and accessibility for people with disabilities. His work has been quoted and cited in numerous media outlets, including The Washington Post, The Wall Street Journal, NPR, USA Today, Bloomberg News, and Businessweek. In 2013, Mr. Castro was named to FedScoop’s list of “Top 25 most influential people under 40 in government and tech.” In 2015, U.S. Secretary of Commerce Penny Pritzker appointed Mr. Castro to the Commerce Data Advisory Council. Mr. Castro previously worked as an IT analyst at the Government Accountability Office (GAO) where he audited IT security and management controls at various government agencies. He contributed to GAO reports on the state of information security at a variety of federal agencies, including the Securities and Exchange Commission (SEC) and the Federal Deposit Insurance Corporation (FDIC). In addition, Mr. Castro was a Visiting Scientist at the Software Engineering Institute (SEI) in Pittsburgh, Pennsylvania where he developed virtual training simulations to provide clients with hands-on training of the latest information security tools. He has a B.S. in Foreign Service from Georgetown University and an M.S. in Information Security Technology and Management from Carnegie Mellon University.
Yanzi Xu
Yanzi Xu is a research fellow at the Center for Data Innovation. 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.