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4 May 2022

How to tackle the data collection behind China’s AI ambitions

Jessica Dawson and Tarah Wheeler

The United States and China are increasingly engaged in a competition over who will dominate the strategic technologies of tomorrow. No technology is as important in that competition as artificial intelligence: Both the United States and China view global leadership in AI as a vital national interest, with China pledging to be the world leader by 2030. As a result, both Beijing and Washington have encouraged massive investment in AI research and development.

Yet the competition over AI is not just about funding. In addition to investments in talent and computing power, high-performance AI also requires data—and lots of it. The competition for AI leadership cannot be won without procuring and compiling large-scale datasets. Although we have some insight into Chinese A.I. funding generally—see, for example, a recent report from the Center for Security and Emerging Technology on the People’s Liberation Army’s AI investments—we know far less about China’s strategy for data collection and acquisition. Given China’s interest in integrating cutting-edge AI into its intelligence and military enterprise, that oversight represents a profound vulnerability for U.S. national security. Policymakers in the White House and Congress should thus focus on restricting the largely unregulated data market not only to protect Americans’ privacy but also to deny China a strategic asset in developing their AI programs.

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