Law and Policy of China’s AI Governance
September
06
Wednesday
| Speaker: | Dr You Chuanman Chinese University of Hong Kong, Shenzhen |
| Moderator: | Associate Professor Lin Lin NUS Law |
| Time: | 4:00 pm to 5:15 pm (SGT) |
| Venue: | Seminar Room 4-1 (Block B, Level 4) NUS Bukit Timah Campus 469 Bukit Timah Road |
| Type of Participation: | Open To Public |
Description
‘With great power comes great responsibility; absolute power corrupts absolutely.’
The rapid evolution of generative AI, akin to ChatGPT, has reignited a global fervour regarding the power and perils of the current wave of AI innovation, bolstered by big data analytics. Policymakers worldwide are increasingly focused on sustainable AI governance that can both promote technological innovation and provide safeguards for its widespread application. Achieving balanced AI governance, however, is a significant challenge due to the inherent complexities of the technology, which include high level of autonomy, efficiency and opacity. A case in point is the EU AI Act’s deliberations, widely praised as the world’s first comprehensive AI law fostering the development of ‘secure’, ‘trustworthy’, and ‘ethical’ AI.
This research presents a comparative and institutional analysis of law and policy regarding AI governance in China, encompassing the status quo, the political economy context, and future reform proposals. This analysis also sheds light on the conundrums of global AI governance amid escalating geopolitical competition. The first part contextualises AI innovation in China within the global landscape of technological development. It posits that while China may dominate in certain sectors, it lags in numerous aspects of foundational research in the race for global technology leadership. The second part delineates the key Chinese laws and policies related to AI governance, including the ‘Made in China 2025’, ‘Deep Synthesis Regulation’, and ‘Generative AI Regulation’. Its aim is to dissect China’s distinctive regulatory approach, such as its heavy reliance on a licensing scheme as a form of ex-ante regulation, and contrast it with practices in the EU and the US. The third part undertakes an institutional analysis of these unique regulatory measures, questioning how China’s AI governance system intertwines with the Party-State-Market triangle and how this interplay is influenced by institutional path dependency. The fourth section offers reform proposals to balance the multifaceted risks and benefits of this general-purpose technology within a conducive regulatory environment that promotes accountability, explainability, and inclusivity. The final section concludes with a future research agenda.
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$97.20 (incl. 8% GST)
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Registration
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CPD Points
1
Practice Area: Telecommunications, Media and Technology Law
Training Level: Foundation
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