In remarks at the 2025 China-ASEAN Financial Cooperation and Development Forum, the China Banking and Insurance Regulatory Commission set out its approach to expanding artificial intelligence use across financial services while keeping financial stability and security as the primary objective. It framed AI as a catalyst for improving financial services, decision-making and operational processes, and pointed to its existing guidance on banking and insurance digital transformation and its data security management measures as key policy anchors. The speech cited examples of AI deployment in financial market activities, credit management and anti-money laundering across more than 20 areas and over 300 business scenarios, with cumulative annual calls reaching 1.5 billion. It also highlighted efficiency gains from generative AI in information retrieval and report generation, enterprise robotic process automation deployments covering more than 870 scenarios with over 550,000 hours saved, and insurance claims automation supported by millisecond-level pricing models drawing on historical claims and market data. Alongside these applications, it emphasised stronger digital governance, an AI-adapted risk management framework, end-to-end model security and clear allocation of responsibility between humans and systems, and noted potential system-wide effects that warrant monitoring, including disintermediation trends and tensions between diversification requirements and AI-related data selection and concentration. The Commission also underscored the value of cross-border regulatory exchange and cooperation, pointing to the Asian Financial Cooperation Association as a regional platform with more than 120 members since its establishment in 2017.
China Banking and Insurance Regulatory Commission 2025-09-18
China Banking and Insurance Regulatory Commission outlines governance expectations for safe and fair use of artificial intelligence in finance
At the 2025 China-ASEAN Financial Cooperation and Development Forum, the China Banking and Insurance Regulatory Commission outlined its strategy for expanding AI in financial services, emphasizing stability and security. The Commission highlighted AI's role in enhancing services, decision-making, and operations, citing examples in credit management and anti-money laundering. It stressed the importance of digital governance, AI-adapted risk management, and cross-border regulatory cooperation through platforms like the Asian Financial Cooperation Association.