Automating Governance in China?

Automating Governance in China?

Data-Driven Systems in the Scoring Society

  • Auteur: Yu, Haiqing; Creemers, Rogier
  • Éditeur: Leiden University Press
  • ISBN: 9789400605022
  • Lieu de publication:  Holland , Netherlands
  • Année de publication électronique: 2025
  • Mois : Juin
  • Pages: 241
  • Langue: Anglais
This book considers the interplay between the affordances of technologies, the experiences and processes of technological systems, and the process of learning and adaptation by state actors as part of governance reform in China. It offers detailed studies of specific projects and applications that are automated or quasi-automated in organising and governing social, economic, and cultural lives in the world’s largest techno-authoritarian regime. Written by scholars from six countries across four continents, case studies illustrate new modes of digital governance employed by the Chinese government, as it interacts and collaborates with technology companies, ordinary citizens, and other key stakeholders. They offer new insights on the deployment of automated decision-making in authoritarian governance, and on its application and implementation in real-life scenarios. In a broader sense, the book contributes to global debates about the integration of decision-making technologies in governmental practices.
  • Cover
  • Table of Contents
    • List of illustrations and tables
      • Figure 2.1 Kahneman et al.’s (2021, 3) archery contest matrix
      • Figure 6.1 Geographic distribution of pilot cities
      • Figure 6.2 Log GDP and log population by pilot status
      • Figure 6.3 Varying Levels of Local Implementation
      • Figure 6.4: Violations that received severe punishments, by city
      • Figure 6.5: Contributors to blacklists
      • Table 2.1 The matrix of ADM failures (source: author)
      • Table 4.1 Summary of alert platform functions
      • Table 4.2 Summary of evidence review function
      • Table 4.3 Summary of automated court inspection system
      • Table 5.1 Overview of published Chinese documents concerning the regulation of facial recognition technologies 2017–2023
      • Table 5.2 Public acceptance of FRT based on a residential survey in Shanghai
      • Table 6.1 Individuals on Blacklists
      • Table 6.2 Summary statistics of severe punishment, by city
      • Table 9.1 Selected laws and regulations that impact on shashu (compiled by authors)
    • Acknowledgements
    • Chapter 1. Automating Governance and Data-Driven Scoring in China: A Critical Introduction
      • Haiqing Yu and Rogier Creemers
    • Chapter 2. Locating and Localizing Automated Decision-Making Failures in China
      • Xin Dai
    • Chapter 3. A Democratic Ethos? Explorations of Blockchains and Governance in China
      • Warwick Powell
    • Chapter 4. Techno-Utopia or Techno-Trap? Unveiling the Enigma of Smart Courts in China’s Judicial Reform
      • Fan Yang
    • Chapter 5. Balancing Control and Engagement: China’s Sociotechnical Imaginary in Facial Recognition Technology
      • Xin Gu, Gavin Smith, Neil Selwyn, Mark Andrejevic, and Chris O’Neil
    • Chapter 6. The Social Credit System as a Law-Enforcing Tool: Pillars of Local Implementation
      • Haemin Jee
    • Chapter 7. Scientific Fairness: Justifications and Critiques of Points Systems in Shenzhen
      • Anne-Christine Trémon
    • Chapter 8. Queer Social Sorting: Control and Criminalization in China’s LGBTQIA+ Activism
      • Ausma Bernot
    • Chapter 9. Regulating Algorithmic Price Discrimination on Chinese Digital Platforms
      • Haiqing Yu and Xuanzi Xu
    • Chapter 10. The Algorithmic Divide in China and An Emerging Comparative Research Agenda
      • Peter K. Yu
    • List of contributors
    • Index

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