The Law, Technology and Economics of AI

Dates: May 22 – 23, 2025 (Thursday – Friday)

Time: 9:30am – 5:30pm

Venue: Academic Conference Room, 11/F Cheng Yu Tung Tower, The University of Hong Kong

The conference seeks to provide a multidisciplinary forum to explore challenges regarding AI regulation, and to shed new light on meaningful regulatory design. It will bring together top scholars from law, economics, and computer science to present their work and engage in discussions across disciplinary boundaries.

Register here: https://hkuems1.hku.hk/hkuems/ec_regform.aspx?guest=Y&UEID=100103

Organizers & Scientific Committee:
Adrian Kuenzler (HKU Law School)
Thibault Schrepel (VU Amsterdam)
Volker Stocker (Weizenbaum Institute)

22 May 2025 (Day 1)

Welcome Remarks (9:30 – 9:40am): Haochen Sun (The University of Hong Kong)

Welcome by the Organizers (9:40 – 10am): Adrian Kuenzler, Thibault Schrepel, Volker Stocker

Panel 1: AI and Competition (10 – 11:30am)

Chair & Moderator: Volker Stocker (Weizenbaum Institute)

Presenters:
Julian Nowag (The University of Hong Kong)
Algorithmic Predation and Exclusion

Nuno Cunha Rodrigues (Universidade de Lisboa/Portuguese Competition Authority)
Crafting the Regulatory Ecosystem for AI: Competition 2.0

Antonio Capobianco (OECD Competition Division)
Competition in the Provision of Cloud Computing Services

• Elettra Bietti (Northeastern University) – ONLINE
AI Antirust as Regulatory Law

Keynote Speech (11:45am – 12:45pm)

Christopher Yoo (University of Pennsylvania Carey Law School)

–  Lunch Break (12:45 – 2pm) – 

Panel 2: AI Act and Copyright (2:00 – 3:30 pm)
Chair & Moderator: Thibault Schrepel (VU Amsterdam)

Presenters:
Daniel Schnurr (University of Regensburg)
Implementing the European AI Act: Balancing Horizontal Consistency with Sector-Specific Requirements

Sandra Marco Colino (The Chinese University of Hong Kong)
Copyrighting AI’s Artistic Streak: The China-US Divide

Zachary Cooper (VU Amsterdam)
Limits to Copyright’s Power Over the Next-Generation of Generative AI Media 

– Coffee Break – 

Panel 3: AI Economics and Regulation (4:00 – 5:30pm)

Chair & Moderator: Adrian Kuenzler (The University of Hong Kong)

Presenters:
Jason Potts (RMIT University)
Governing Hyperobjects – New Economics of AI Regulation

William Lehr & Volker Stocker (MIT & Weizenbaum Institute)
Agentic AI – Friend and Foe

Alba Ribera Martínez (Universidad Villanueva) – ONLINE
Generative AI Training Data and the Challenge of Lawful Scale

23 May 2025 (Day 2)

Keynote Speech (9:30 – 10:30am)

Sandra Matz (Columbia Business School) – ONLINE

Panel 4: Data and AI (10:30am – 12:00 noon)

Chair & Moderator: Thibault Schrepel (VU Amsterdam)

Presenters:
Ginger Zhe Jin (University of Maryland)
Artificial Intelligence and Data Policies

Kyohei Yamamoto (Japan Fair Trade Commission)
AI, Competition and Data Regulation in Japan

Robert Mahari (MIT Media Lab) – ONLINE

– Lunch Break (12 – 1:15pm) –

Panel 5: Governing AI (1:15 – 2:45pm)
Chair & Moderator: Volker Stocker (Weizenbaum Institute)

Presenters:
Michal Shur-Ofry (Hebrew University of Jerusalem)
AI Governance as Regulation of Collective Memory

Paul Ohm (Georgetown University Law Center)
Hoisting AI on its Own Petard

Harry Surden (University of Colorado Law School)
The Limits of Prediction in Technology Policy: Why AI Regulation Must Embrace Uncertainty

– Coffee Break –

Panel 6: Jurisdictional Challenges and AI Policies (3:15 – 4:45pm)

Chair & Moderator: Adrian Kuenzler (The University of Hong Kong)

Presenters:
Florence G’sell (Scienes Po/Stanford University)
The EU’s Model of Comprehensive Technology Regulation

Yo Sop Choi (Hankuk University of Foreign Studies Seoul)
The New AI Regulation in Korea

Yasunori Tabei (Japan Fair Trade Commission)
AI Regulation and Japanese New Legislation: Mobile Software Competition Act

Catalina Goanta (Utrecht University) – ONLINE
The Consumer Protection Roots of the AI Act

Closing Remarks by the Organizers (4:45 – 5pm)

This event is free of charge.

For inquiries, please contact Ms. Grace Chan at mcgrace@hku.hk / 3917 4727.