Work

Policy designs for adaptive governance of disruptive technologies: the case of facial recognition technology (FRT) in China

Year: 2023

Type: article

Abstract: Recent regulations introduced by the Chinese government regarding big data technologies are welcome to those long concerned about the risks associated with their rapid deployment. However, these changes are not sufficient to safeguard privacy and data security. More importantly, these policies may not have fully accounted for the disruptive nature of these technologies. In this paper, we examine the need and the potential of new approaches in policy design regarding disruptive technologies by examining the case of facial recognition technology (FRT) in China. We argue that adaptive governance provides a useful framework for future policy design. Regulatory sandbox approach, policy mix and stakeholder engagement are among key policy measures to overcome regulatory challenges.

Source: Policy Design and Practice

DOI: 10.1080/25741292.2022.2162248

Authors: Zhizhao Li, Yuqing Guo, Masaru Yarime, Xun Wu

Institutions: Hong Kong University of Science and Technology, The Hong Kong University of Science and Technology (Guangzhou)

Language: English

Topic: Digitalization, Law, and Regulation

Subfield: Law

Field: Social Sciences

Domain: Social Sciences

SDGs: Peace, justice, and strong institutions, Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W4313592379

FWCI: 23.34

Cites: 20

Cited by: 13

Related to: 10