AI-Driven Labour Governance: A Comparative Study of China’s Intelligent Workforce Management Systems and Their Adaptability to India’s Labour Ecosystem

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Authors

  • Faraz Khan Departmnet of Computer Science and Engineering, Glocal University, Saharanpur, UP- 247121, India
  • Shivani Tiwari Registrar, Glocal University, Saharanpur, UP- 247121, India
  • Sumaira Khan Glocal Ayurveda College, Saharanpur, UP- 247121, India
https://doi.org/10.55559/jess.v2i1.639

Keywords:

Artificial Intelligence, Labour Governance, Workforce Management, China Labour System, India Labour Codes, Smart Compliance, Gig Economy, Occupational Safety, Digital Labour Administration

Abstract

The past few years have seen the emergence of Artificial Intelligence (AI) that is redefining the systems of governance and industrial management in the global arena. China is one of the top economies that have achieved a great deal by introducing AI technologies in its workforce management and labour administration. Smart factory monitoring, AI-controlled compliance monitoring, algorithmic worker management of gig workers, and predictive occupational safety systems are AI-based systems that the country has implemented to enhance productivity in addition to strengthening regulatory measures. India, on the other hand, has implemented significant actions on legislations by enacting the four Labour Codes that are intended to streamline labour laws and enhance social security as well as employee welfare. Nonetheless, issues like high levels of informal workforce, absence of actual-time monitoring of compliance, wage anomalies and inefficiency in enforcing labour laws still impact the success of labour governance. This research paper also tries to explore how the AI-based labour management technologies that have been applied in China can provide informative experiences in enhancing the labour system in India. The paper draws a comparative study of technological structures, system of governance and labour welfare in the two nations. In the Indian context, it also looks at the viability of deploying AI-based compliance solutions, electronic wage monitoring solutions, biometric labor registries, and intelligent safety monitoring systems. The report also discusses potential problems like policy alignment, infrastructural readiness, ethical concerns, and data privacy. Additionally, the report will contribute to ongoing discussions about modernising the labour administration in India by providing an integrated framework of technology and policy that is founded on the ethical and inclusive application of artificial intelligence.

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Published on: 11-05-2026

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How to Cite

Khan, F., Tiwari, S., & Khan, S. (2026). AI-Driven Labour Governance: A Comparative Study of China’s Intelligent Workforce Management Systems and Their Adaptability to India’s Labour Ecosystem. Journal of Engineering, Science and Sustainability, 2(1), 1–9. https://doi.org/10.55559/jess.v2i1.639
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