China’s success in cultivating Big Tech firms has enabled it to emerge as a formidable rival to the United States in the digital sphere. But in the past few years, the Chinese government has embarked on a massive regulatory crackdown, targeting its largest tech corporations such as Alibaba, Tencent, and Meituan. Many Western experts have viewed this tech crackdown as an assault on private businesses, causing doubt among investors about whether Chinese firms are still investable. Professor Angela Zhang will go beyond the headlines to unravel the dynamic complexity of China’s regulatory governance. Drawing insights from her newly published book, High Wire: How China Regulates Big Tech and Governs Its Economy, she will introduce the dynamic pyramid model of regulation, an analytical framework that demystifies Chinese regulatory governance. She will examine the impact of the tech crackdown on the administrative state, the competitive landscape, and global tech rivalry. And she will peer into the future by examining China’s strategy for regulating generative artificial intelligence. 

As interest in AI surges around the world, and concerns about the risks and harms of AI technology are wide-ranging. Regulatory discussions are correspondingly complex, touching on values such as human rights, democracy, and sustainability. Professor Hiroki Habuka of the Kyoto University Graduate School of Law and Professor Daniel Francis of NYU School of Law will use the current Japanese approach to AI regulation as a framework to explore some of the big questions that AI presents to legislators, citizens, and regulatory theorists.