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Governance of the AI Industry and Industrial Applications

January 19, 2026

Background and research questions

As AI technologies move from experimentation to large-scale deployment, their integration into industrial systems creates new governance challenges. These include uneven adoption across sectors, regulatory uncertainty, and the interaction between technological innovation and industrial transformation. Key research questions address how AI reshapes patterns of industrial innovation and how governance can support responsible, sustainable industrial AI development.

Core research areas

Empirical studies of AI industries and applications

This research is grounded in multi-level and cross-regional empirical studies of AI development in major innovation hubs. It focuses on key AI sectors and application scenarios, combining firm-level case studies with broader ecosystem analysis.

AI-driven industrial innovation dynamics

The research examines the co-evolution of AI technologies and industrial transformation, analyzing the simultaneous advancement of AI industrialization and industry-wide AI adoption. It investigates how AI-driven innovation aligns with established innovation lifecycle and diffusion models.

Autonomous driving as an AI-enabled industrial system

Autonomous driving is chosen as a representative AI-enabled industrial application that integrates advanced perception, decision-making, and control systems within complex socio-technical and regulatory environments. Research in this area focuses on governance challenges related to safety assurance, accountability, regulatory coordination, and public trust, as well as the role of standards and multi-stakeholder collaboration in supporting responsible deployment.

Research outputs

Results from this research provide systematic insights into AI-enabled industrial transformation and support evidence-based policy analysis. The research outcomes have informed analytical models and policy-oriented studies on AI industry development and governance.

Projects

Research on the Inclusive and Prudential Supervision Mechanism for the Development of New Economy Business Models

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