IEEE 3410-2025

This guide provides guidance of using large-scale Artificial Intelligence (AI) models for financial risk management. For the application of such models, the guide provides capabilities of applicable scenarios, model design, development, deployment, and iterations. Specifically designed to assist financial institutions, the guide provides detailed directions on planning, constructing, deploying, and maintaining these AI models, with respect to algorithms, in financial lending scenarios.



New IEEE Standard - Active. This guide aims to establish a standardized reference framework and technical protocols for implementing large-scale artificial intelligence (AI) models in financial risk management. It serves as an essential guidance for financial institutions seeking to build, iterate, utilize their large-scale AI models for managing financial risks. The guide offers best practice on integrating various data knowledge, including feature space, sample, and model knowledge, into large-scale financial risk management models. It also provides strategic guidance on designing pre-training process, fine-tuning process, and evaluation methodologies to augment the feature and risk comprehensive capabilities of the large-scale models. Furthermore, it elucidates on the swift adaptation of the large models to various financial lending risk scenarios and the iterative process of the large-scale models.