Group 1 - The core discussion revolves around the necessity of a unified standard for the practical implementation of AI in finance, as highlighted by industry experts [1][3] - Yang Yehui from Qifu Technology emphasizes that AI serves as a tool in high-barrier industries like finance and healthcare, which are likened to fertile land for AI applications [1] - The FCMBench framework aims to create a standardized evaluation system for financial AI models, addressing the confusion among financial institutions regarding model selection [1] Group 2 - Professor Xu Yanwu from South China University of Technology points out that AI has already made significant contributions in areas such as insurance pricing, asset evaluation, and quantitative trading, although these impacts may not be visible in consumer-facing products [2] - Professor Chen Tao from Fudan University stresses the importance of developing a financial reasoning chain within AI models, moving beyond generic pre-training and fine-tuning to ensure models understand interest rates, regulations, and risks [4]
奇富科技开启直播 探讨信贷多模态AI如何定标准