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About Workshop

Global Perspectives on AI Governance

This in-person workshop will bring together scholars of artificial intelligence governance and regulation from China, the United States, and Europe. As concerns about AI risks grow, governments around the world, as well as intergovernmental organizations, are adopting new legislation, regulatory initiatives, and standards regimes. The workshop will examine the differing paths, and potential for alignment, in policy approaches among the most significant jurisdictions.

What are the major AI governance, safety, and trust issues that governments and industry are focused on? How are market or technical developments influencing policy, and vice versa? What are the central economic and ethical concerns driving AI governance initiatives? And how are organizations responding to them?

The workshop will provide an opportunity for productive sharing of insights and will build connections for ongoing work.

Time

May 19, 2025

Location

Guanghua School of Management, Peking University

Language

English (English-Chinese Simultaneous Interpretation)

Co-hosted

Penn Wharton China Center

Wharton Accountable AI Lab

Guanghua School of Management, Peking University

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Agenda

9:00am Introduction

Xi Weng, Guanghua School of Management, Peking University

Kevin Werbach, The Wharton School, University of Pennsylvania

9:15am Welcome Message

Qiaowei Shen, Guanghua School of Management, Peking University

Xixin Wang, Peking University Law School

9:30am Key Attributes of US, European, and Chinese AI Regulation

Scholars from each region will describe the major aspects of current and prospective regulatory regimes for AI. This will be followed by a moderated discussion highlighting areas of convergence and divergence.

Ling Bin, Peking University Law School

Sara Migliorini, Faculty of Law, University of Macao

Thibault Schrepel, Vrije University Amsterdam

Kevin Werbach, The Wharton School, University of Pennsylvania

10:45am Break

11:00am Governance of Generative AI and Foundation Models

A key challenge for AI governance is how to address general-purpose generative AI

foundation models. They raise issues of massive-scale internet data collection and

responsibility for downstream harms, as well as safety concerns for frontier models.

Zhang Linghan, China University of Political Science and Law

Andrew Selbst, UCLA School of Law

Zeng Yi, Chinese Academy of Sciences

Angela Zhang, USC Gould School of Law

12:15pm Lunch

1:30pm Societal Implications of AI

AI could significantly impact the nature of work, creativity, economic

competitiveness, and how people interact with one another, among other

possibilities. How should industry and government evaluate and address these

consequences?

Margaret Hu, William & Mary Law School

Jiang Kaifeng, Guanghua School of Management, Peking University

Weiwei Shen, China University of Political Science and Law

Dai Xin, Peking University Law School

2:45pm Break

3:00pm Closing Roundtable Discussion: Prospects for Global Coordination

Moderated conversation among all the scholars participating about where there are needs and opportunities for research collaboration, technical coordination, or inter-governmental efforts to address AI risks and governance concerns.

4:00pm Adjourn

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Welcome to Enroll

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來源 |北大光華學術資訊

編輯 |王蒙