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China's Financial Regulator Issues Comprehensive AI Safety Guidance for Banks and Insurers
China's financial regulator issued comprehensive guidance supporting generative AI adoption in banking and insurance while establishing strict safety and compliance requirements. The directive mandates AI model admission management, supply chain security oversight, dedicated governance committees, and encourages large institutions to share computing resources with smaller firms to promote industry-wide AI adoption.
Quick Facts
Who
National Financial Supervision and Administration of China
What
Released guidance on safe AI development and application
When
June 18, 2026
Where
China
- Released guidance on safe AI development and application
- Established generative AI model admission management requirements
- Mandated external AI model registration with Cyberspace Administration
- Required establishment of dedicated AI governance committees
- Implemented supply chain risk management mechanisms
China's National Financial Supervision and Administration has released guidance on the safe development and application of artificial intelligence in the banking and insurance sectors. The directive supports financial institutions in advancing generative AI technology applications while maintaining strict risk controls and compliance standards. The guidance establishes a framework for responsible AI deployment across the financial industry while promoting technological self-reliance and innovation.
The regulatory framework requires financial institutions to implement admission management for generative AI models, including rigorous assessment of model effectiveness and safety compliance. External AI models must be registered with the Cyberspace Administration. Banks and insurers are required to establish dedicated committees overseeing AI development and application, with clear accountability structures spanning business, technology, and data functions. This organizational approach ensures that AI capabilities align with institutions' risk management capacities and internal governance standards.
The guidance emphasizes supply chain security and technology independence in AI infrastructure. Financial institutions must establish robust supply chain risk management mechanisms for AI computing resources, models, data, and technical tools. The directive specifically addresses the risks of over-dependence on individual technology providers and concentration risks, requiring institutions to conduct audits of open-source components, perform vulnerability scanning, and maintain comprehensive software management records. This includes regular risk assessments to prevent supply chain attacks.
The framework promotes collaborative infrastructure development across the financial sector. Large financial institutions are encouraged to share computing services and AI capabilities with smaller institutions, supporting industry-wide adoption through shared infrastructure and co-development initiatives. The guidance supports use of national computing nodes and industry infrastructure to reduce AI development costs while maintaining security compliance. Financial institutions are also encouraged to cooperate with AI industry partners to drive innovation and improve application efficiency.
The directive prioritizes green technology and computational efficiency in building self-controlled, secure, and efficient computing infrastructure. This supports China's objectives of technological independence while managing the growing computational demands of AI systems. The guidance balances innovation incentives with stringent oversight, creating conditions for responsible AI advancement in financial services while safeguarding systemic stability and data security.
Why This Matters
This regulatory guidance is significant for financial institutions across China as it creates a clear legal framework for AI adoption while emphasizing security and independence. Financial firms can now invest in generative AI with defined compliance requirements, reducing regulatory uncertainty. The guidance also promotes collaborative infrastructure development, which lowers barriers for smaller institutions to participate in AI innovation. For international stakeholders, this reflects China's strategic push toward technological self-reliance in financial services while maintaining stability—a balancing act that could influence global AI governance standards.
Timeline & Sources
Jun 18, 2026
WireNational Financial Supervision and Administration releases comprehensive guidance on AI safety development and application for banking and insurance sectors