Navigating China’s regulatory approach to generative artificial intelligence

Navigating China’s regulatory approach to generative artificial intelligence

In-person event

In-person event

The rapid development and application of generative artificial intelligence (AI) systems have raised growing concerns of their potential risks at a global level. In July 2023, Chinese regulators passed the Interim Measures for the Management of Generative AI Services (the Measures). The Measures target various risks associated with this technology, particularly around content safety and security. At the same time, a key policy objective of Beijing is to promote further growth of the industry. The unresolved tensions between such policy objectives are reflected in the Measures’ provisions relating to obligations on generative AI service providers, which present significant challenges in the implementation of the regulation. As Beijing looks to developing a comprehensive legal framework for AI, legislators will need to further clarify and balance the liability of different regulated actors in a range of contexts.

About the speaker

Mimi Zou is Professor of Law and Head of School of the School of Private and Commercial Law, UNSW Sydney. Her research focuses on the impact of new technologies such as AI and blockchain on private and commercial law, and the regulation of new technologies from comparative and international perspectives. Professor Zou has spent most of her academic career in the UK and Hong Kong, and have held senior positions at top universities including a Chair in Commercial Law at the University of Exeter and the first-ever Fellowship in Chinese Law at the University of Oxford.

Friday 17 May

Time: 1-2pm

CPD Points: 1

Venue: Common Room, Level 4, New Law Building (F10)

This event is proudly presented by the Centre for Asian and Pacific Law at Sydney Law School and the Chinese Studies Centre at the University of Sydney.

May 17 @ 1:00 PM 2:00 PM

Venue:

Common Room, Level 4, Sydney Law School

Cost:

Organiser: