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

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.

[1]  Tao Liu,et al.  Research on Face Recognition and Privacy in China—Based on Social Cognition and Cultural Psychology , 2021, Frontiers in Psychology.

[2]  M. Howlett,et al.  Assessing the Regulatory Challenges of Emerging Disruptive Technologies , 2021, Regulation & Governance.

[3]  Richard van Noorden.  The ethical questions that haunt facial-recognition research , 2020, Nature.

[4]  I. Brass,et al.  Adaptive governance for the Internet of Things: Coping with emerging security risks , 2020 .

[5]  Lei Zheng,et al.  Towards a typology of adaptive governance in the digital government context: The role of decision-making and accountability , 2017, Gov. Inf. Q..

[6]  Geoffrey Banda,et al.  Proportionate and adaptive governance of innovative technologies (PAGIT): A framework to guide policy and regulatory decision making , 2017 .

[7]  Yapeng Zhu,et al.  Policy entrepreneur and social policy innovation in China , 2015, The Journal of Chinese Sociology.

[8]  C. Folke,et al.  Adaptive governance, ecosystem management, and natural capital , 2015, Proceedings of the National Academy of Sciences.

[9]  B. Chaffin,et al.  A Decade of Adaptive Governance Scholarship: Synthesis and Future Directions , 2014 .

[10]  F. Chapin,et al.  Adaptive governance and institutional strategies for climate-induced community relocations in Alaska , 2013, Proceedings of the National Academy of Sciences.

[11]  D. Hammond.  Policy Entrepreneurship in China's Response to Urban Poverty , 2013 .

[12]  E. Uyarra,et al.  Reconceptualising the 'policy mix' for innovation , 2011 .

[13]  Andrew C. Mertha.  “Fragmented Authoritarianism 2.0”: Political Pluralization in the Chinese Policy Process* , 2009, The China Quarterly.

[14]  J. Norberg,et al.  ADAPTIVE GOVERNANCE OF SOCIAL-ECOLOGICAL SYSTEMS , 2005 .

[15]  Erwin Danneels.  Disruptive Technology Reconsidered: A Critique and Research Agenda , 2004 .

[16]  E. Ostrom,et al.  The Struggle to Govern the Commons , 2003, Science.

[17]  Michael H. Cohen.  The Future of Regulation , 1999 .

[18]  Tim Beardsley,et al.  Shooting the Rapids , 1994 .

[19]  International Food Policy Institute.  2021 Annual Report , 2022 .

[20]  Araz Taeihagh,et al.  Adaptive governance of autonomous vehicles: Accelerating the adoption of disruptive technologies in Singapore , 2021, Gov. Inf. Q..

[21]  Marijn Janssen,et al.  Adaptive governance: Towards a stable, accountable and responsive government , 2016, Gov. Inf. Q..

[22]  R. Kostoff,et al.  Disruptive technology roadmaps , 2004 .