On September 24, a report from the financial frontline said that the Shanghai Financial Regulatory Bureau recently issued the "Several Measures to Promote the Application of Artificial Intelligence in Shanghai's Banking and Insurance Industries," rolling out 16 specific initiatives across three major areas to push financial institutions under its jurisdiction to carry out the "AI+" initiative in depth and help Shanghai speed up its development as an international financial center and a global fintech center.
In terms of strengthening digital and intelligent empowerment, financial institutions are encouraged to deepen the use of artificial intelligence in core business scenarios such as intelligent marketing, intelligent credit, intelligent claims assessment, and intelligent risk control, prudently explore the development of financial AI agents, and drive the evolution of service methods from digital empowerment to intelligence-driven operations. Financial institutions are supported in adopting a "rent-and-buy combined" model to optimize the allocation of intelligent computing power resources, coordinate the development and application of vertical-domain models, build a layered and collaborative model architecture, and strengthen data governance, unleash the value of data elements, establish a "data plus model" dual closed-loop mechanism, build enterprise-level artificial intelligence platforms, lower technical thresholds, and promote the development of an industry application ecosystem.
In terms of consolidating foundational support, financial institutions are required to improve the governance architecture for artificial intelligence applications, incorporate it into their digital and intelligent transformation strategic planning, accelerate the cultivation of artificial intelligence talent, and build a talent development ecosystem that integrates industry and education. On compliance management, they are required to improve the data compliance system, file or register generative artificial intelligence models serving the public in accordance with relevant regulations, establish an access control mechanism for high-risk application scenarios, and prevent technology abuse and digital formalism. They must strengthen outsourcing risk management, improve the model risk management system, enhance model interpretability, practice the concept of artificial intelligence for good, build a solid foundation for secure applications, and effectively guard against new technology risks such as artificial intelligence hallucinations, black boxes, and large model security vulnerabilities.
In terms of improving safeguard mechanisms, a pilot mechanism will be explored for the application of generative artificial intelligence large models in the financial sector, an inclusive, prudent, classified and tiered flexible regulatory framework will be studied, and fault-tolerance mechanisms and differentiated tolerance levels will be explored. At the same time, industry self-regulatory organizations are encouraged to build cross-industry cooperation and sharing platforms and promote collaborative development among industry, academia, research, and application. Next, the Shanghai Financial Regulatory Bureau will guide financial institutions under its jurisdiction to increase the intensity of artificial intelligence applications, enrich the supply of intelligent financial products, steadily advance the deep integration of artificial intelligence and the financial industry, effectively respond to the risks and challenges brought by the development of artificial intelligence, and continuously improve the quality and efficiency of artificial intelligence in empowering financial services for the real economy and people's livelihood.
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