Promotes high-quality AI industry development, integration with economy and urban governance, and international influence. Requires municipal governments to lead AI strategies and innovation. Supports infrastructure, algorithm innovation, data usage, and ethical AI practices. Encourages AI application in various sectors and strengthens governance and security.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.
All other risk subdomains had no coverage in this document.
Risk Coverage Summary
The document has minimal to good coverage of approximately 8-10 subdomains, with primary focus on governance failure (6.5), competitive dynamics (6.4), lack of transparency (7.4), and discrimination (1.1, 1.3). Coverage concentrates on governance structures, industrial development, and ethical considerations rather than specific technical risks or malicious actor scenarios.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.
All other sectors had no coverage in this document.
Sectors Summary
This regulation governs AI use across virtually all economic sectors, with particularly strong coverage of Information (AI development companies), Manufacturing, Finance and Insurance, Health Care, Education, Public Administration, and Professional Services. The regulation applies to both AI developers/providers and AI deployers across all industries within Shanghai municipality.
Hard Law
Legislative Status Summary
This is a binding municipal regulation enacted by the Shanghai Municipal People's Government with mandatory language throughout ('shall'), explicit enforcement mechanisms, and legal authority under Chinese administrative law.
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Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
AI Lifecycle Summary
The document comprehensively covers all AI lifecycle stages from planning through operational monitoring. It provides detailed coverage of Plan and Design (strategic planning, infrastructure), Collect and Process Data (data sets, public data), Build and Use Model (algorithm innovation, model development), Verify and Validate (testing, evaluation), Deploy (demonstration applications, procurement), and Operate and Monitor (ongoing monitoring, evaluation mechanisms).
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions AI systems, AI models, and various AI technologies. It does not use terms like 'frontier AI', 'general purpose AI', 'foundation models', or 'generative AI' but covers AI broadly across applications. It does not specify compute thresholds or distinguish between open-weight and closed models. The focus is on AI technology generally as defined in Article 71.
Document data from AGORA, CSET Emerging Technology Observatory.