AI+Finance enters a phase of large-scale implementation: how to make it usable, controllable, and traceable
On October 23 at the Shanghai Suhewan Conference, Zhu Jian, Chairman of Guotai Haitong Securities, said that the deep integration of technology and finance is already an inevitable choice of the era, and mentioned that the CSRC recently made clear it will issue and implement opinions on the safe and compliant application of artificial intelligence in the securities and futures industry. Wang Cheng of Tongji University pointed out that financial decision-making has many variables and complex correlations; simply increasing data, computing power, and algorithms may not solve deep-water problems such as macroeconomic forecasting and trading simulation, and finance has high requirements for explainability and anomaly traceability, so new technologies need to integrate with existing methods rather than simply replace them. Attendees believed that the industry needs to adhere to independent and controllable hardware and an open software ecosystem, and promote networked computing power and heterogeneous computing power scheduling.
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"The deep integration of technology and finance has become an inevitable choice of the era," said Zhu Jian, chairman of Guotai Haitong Securities, on October 23 at the high-end dialogue event of the Shanghai Suhewan Conference.
Zhu Jian mentioned that regulatory authorities continue to promote the expansion of the STAR Market's fifth set of listing standards toward frontier fields such as artificial intelligence, large models, and quantum computing, and that the CSRC recently made clear it will issue and implement opinions on the safe and compliant application of artificial intelligence in the securities and futures industry.
Zhai Lei, deputy secretary of the Jing'an District Committee and district mayor, said that Jing'an, as an important carrier area for Shanghai's "five centers" development, has gathered more than 800 financial institutions of various types, ranks among the top three citywide in the scale of financial industry value added, is vigorously implementing the "AI+" initiative, and is operating the city's first AI scenario application promotion center as a physical entity.
On the specific difficulties in the development of AI finance, Wang Cheng, vice dean of the School of Computer Science and Technology at Tongji University, said that financial decision-making has many variables, complex correlations, and strong randomness, and that relying solely on more data, computing power, and algorithms may not solve "deep-water" problems such as macroeconomic forecasting and trading simulation, requiring the promotion of multi-paradigm integration.
Wang Cheng emphasized that finance has high requirements for interpretability and anomaly traceability, and new technologies need to integrate with existing methods rather than simply replace them.
At present, the integration of AI and finance has moved from single-point technical verification into the stage of systematic, large-scale production. In the roundtable discussion, participating guests held that the industry needs to adhere to independent and controllable hardware and an open software ecosystem, improve network determinism, security, and timeliness, perfect the storage foundation and intelligent operations and maintenance governance, and promote networked computing power and heterogeneous computing power scheduling, so that AI can be "usable, manageable, and traceable" in core financial scenarios.