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China’s Asset Management Association has introduced the inaugural technical standards for the use of artificial intelligence models in the fund management industry. These guidelines aim to enhance security and ensure compliance as AI adoption accelerates within the financial sector.
The framework categorizes AI applications in asset management into six layers: infrastructure, data management, model services, application technology, scenario applications, and security management. Specific technical requirements and management protocols are outlined for each layer, as detailed in the recent publication.
Key drafting entities include leading Chinese fund management firms such as E Fund Management and China Asset Management, alongside AI technology providers including Alibaba Cloud and Huawei Technologies.
The standards stipulate that fund management firms must avoid directly using non-anonymized customer personal data, core trading instructions, or undisclosed research information for training or fine-tuning AI models. Any training or inference involving sensitive investment strategies or risk management data must occur within secure, private model environments that are isolated either physically or digitally.
The guidelines also mandate the establishment of robust model security measures. These include conducting content security reviews, protecting against adversarial examples, assessing supply chain security, and implementing access controls to safeguard the integrity, compliance, and interpretability of AI outputs.
Furthermore, firms are required to implement comprehensive risk mitigation strategies, such as multi-factor authentication, API protection, compliance audit trails, and emergency response and recovery plans.
Since March, AI tools like OpenClaw have surged in popularity across China. However, such solutions often require high-level system permissions, prompting regulatory agencies—including the Ministry of Industry and Information Technology and China’s National Computer Network Emergency Response Technical Team/Coordination Center—to issue warnings about potential security vulnerabilities.
Given that fund management firms operate within closed trading environments, tools like OpenClaw have limited relevance to their everyday trading operations, a manager noted. Nonetheless, the application of AI for large-scale data analysis and repetitive tasks reflects a significant ongoing industry trend.
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