City Research Online

Artificial Intelligence and Law: Emerging Divergent National Regulatory Approaches in a Changing Landscape of Fast-evolving AI Technologies

Zhao, L. ORCID: 0000-0002-8935-001X (2022). Artificial Intelligence and Law: Emerging Divergent National Regulatory Approaches in a Changing Landscape of Fast-evolving AI Technologies (City Law School Research Paper 2022/15). London, UK: City Law School.

Abstract

As AI encompasses a broad range of technologies and is evolving rapidly, this contribution argues that policy-makers at both national and global levels are facing the “pacing problem” – technology is developing faster than the policy-makers’ ability to keep up. While AI largely is unregulated across WTO members on a global scale, a handful of AI powers – the US, EU UK and China – have started to regulate AI to secure the first-mover advantage. This contribution finds that the AI powers have developed divergent regulatory responses to handle the pacing problem at the national level. At the international level, the pacing problem also exists; this contribution examines the deficiency of global trade law governing areas of trade in goods, services and trade-related intellectual property rights.

Publication Type: Monograph (Working Paper)
Additional Information: Copyright, the authors, 2022.
Publisher Keywords: Artificial Intelligence; Regulatory Frameworks; Divergency; Pacing Problem; the Global Trading System
Subjects: K Law > K Law (General)
T Technology > T Technology (General)
Departments: The City Law School > Academic Programmes
The City Law School > CLS Working Paper Series
[img]
Preview
Text - Published Version
Download (728kB) | Preview

Export

Downloads

Downloads per month over past year

View more statistics

Actions (login required)

Admin Login Admin Login