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Policy Modeling Consistency index-based study on policy synergy for sustainable artificial intelligence in China's
1Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University, Shanghai, China.
Abstract:
This paper applies the Policy Modeling Consistency (PMC) index model to quantitatively evaluate 32 Chinese policies (2016-2025) promoting artificial intelligence (AI) in digital cultural industries (DCIs). Focusing on policy synergy for sustainable AI, the analysis assesses ten primary variables-including policy objectives, instruments, sustainability integration, and application levels-across national and local initiatives. Results reveal an overall 'Excellent' average PMC score, indicating robust policy design in economic or technological domains. However, some low-grade policies prioritize short-term regulation over sustainable governance. The study recommends embedding 'human-centricity' and 'ethical risk assessment' in sustainability indicators, alongside cultural diversity safeguards (e.g., algorithmic support for intangible heritage). These optimizations can reframe AI as a socio-cultural enabler-not merely a technical tool-advancing equitable, innovative, and ecologically resilient DCIs aligned with Sustainable Development Goals (SDGs).
