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Southern Finance Omnimedia trainee reporter Lin Qiutong reports from Beijing

Recently, the "2024 Zhongguancun Forum Series of Activities - Digital Finance and Financial Security Conference" was held at the Zhongguancun Exhibition Center. The conference was guided by the People's Government of Haidian District, Beijing, and the People's Government of Xicheng District, Beijing, and hosted by the Zhongguancun Financial Technology Industry Development Alliance and the Zhongguancun Internet Finance Research Institute. With the theme of "Financial Security Helps Strengthen the Financial Country", the conference interpreted the latest technological trends and innovative application cases in the financial field, explored the close connection between digital finance and financial security, and sought effective strategies to ensure the robustness of the financial system.

In the AI ​​special session of the Zhongguancun "Fantaike" International Financial Technology Innovation Competition, eight companies including iFlytek Co., Ltd., Beijing Pocket Wealth Information Technology Co., Ltd., and Hangzhou Touzhi Information Technology Co., Ltd. competed on the integration of AI and financial products. After the roadshow, the experts at the conference shared their views on the theme of AI and financial development.

Chen Zhong, co-chairman of the Zhongguancun Fintech Industry Development Alliance, chairman of the Fintech Talent Committee, and professor at the School of Computer Science at Peking University, emphasized that in the field of artificial intelligence, responsible governance should be consistent with the pace of technological development, and the two can go hand in hand.

Big model technology empowers the digital development of finance

Ouyang Rihui, deputy director of the Expert Committee of the Zhongguancun Financial Technology Industry Development Alliance, deputy dean of the China Internet Economy Research Institute of the Central University of Finance and Economics, professor, and doctoral supervisor, believes that one of the main manifestations of artificial intelligence improving the efficiency of financial services is that big model technology empowers financial business, thereby forming new productivity.

Artificial intelligence is evolving from single-mode to multi-modal integration. Big model technology has a significant enabling effect and will promote the digitalization and intelligence level of the financial industry. After adopting big model technology, financial institutions will gain broader development prospects, including personalized products and services, improved value chain efficiency, and enhanced scientific decision-making.

Specifically, big model technology plays three roles in the high-quality development of finance: optimization, connection and prediction. On the one hand, through rapid learning, interaction and feedback, big models can identify process bottlenecks, reduce human errors and optimize operational efficiency. This will be widely used in financial approval, user stratification, customer service investment consulting, compliance quality inspection and other service scenarios.

On the other hand, relying on big model capabilities and digital advantages, financial services can be expanded to county towns and rural areas to achieve inclusive customer acquisition marketing, customer operations and customer services, thereby better building connections between cities and rural areas, supply and demand.

In addition, based on causal inference and generalization capabilities, large models can perform data analysis and credit assessment to detect possible fraud and predict future credit risks.

Ouyang Rihui said that at present, the application of big models in the financial field is generally still in the early exploration stage. Due to the privacy and multimodal characteristics of financial data, it is difficult to share data and build large-scale data sets. Therefore, it has not yet been widely used in the financial vertical field.

Ouyang Rihui also pointed out that data security governance is also an important issue that cannot be avoided in the development of financial big models. It is necessary to accelerate the construction of a financial data security governance system framework that integrates organization, management, technology, and operations, improve the level of collaborative governance, and promote the application of big model technology.

"Artificial Intelligence + Financial Security" requires international reference and collaboration

Hu Jiye, director of the Blockchain Financial Rule of Law Research Center of China University of Political Science and Law, professor of the Department of Finance, and doctoral supervisor, analyzed the differences between my country and the international community in terms of digital financial supervision. He believes that although my country's digital RMB technically retains the blockchain interface, it still uses the traditional Internet as a whole. The transmission link of the digital euro uses blockchain technology. If users want to protect the privacy of their personal digital euro transactions, they can apply for anonymous coupons for free and run on the link with the digital euro.

It is understood that the use of anonymous coupons is set up in accordance with the relevant provisions on personal privacy protection in the 2018 EU General Data Protection Regulation (GDPR).

Hu Jiye also believes that the development of the EU digital euro is not as rapid as that of China's digital RMB, but from a security perspective, it is very unique in terms of personal privacy protection.

In addition to learning from digital financial regulation, in the face of security risks, at the macro level, on the one hand, we must make perfect regulatory provisions in laws and regulations, and on the other hand, we can refer to and learn from international cases and policy-making experiences.

Chen Zhong said that AI brings different problems from traditional security challenges in terms of availability, integrity and privacy protection. In addition to security challenges, generative AI also faces the problem of abuse. It is urgent to promote AI innovation responsibly and improve governance.

At present, my country already has regulations such as the "Global Artificial Intelligence Governance Initiative", which have made provisions for the three aspects of artificial intelligence development, security, and governance. It adheres to the people-oriented and intelligent good approach, and continuously improves the security, reliability, controllability and fairness of artificial intelligence technology.

Internationally, the "Artificial Intelligence Act" preliminarily passed by the European Parliament in March this year is the first legislation in the world to comprehensively regulate artificial intelligence. Chen Zhong believes that the bill has helped narrow the artificial intelligence gap and other digital divides between countries and within the country, protect personal privacy data, and promote fair enjoyment of the benefits brought by artificial intelligence.