当前，人工智能（AI）技术正加速从技术探索迈向产业落地，金融行业作为数据密集、场景丰富的领 域，已成为AI技术应用的"主战场"。 国务院8月26日发布的《关于深入实施"人工智能+"行动的意见》提出，"以科技、产业、消费、民生、 治理、全球合作等领域为重点，深入实施'人工智能+'行动"。 在此背景下，消费金融公司如何以合规为前提，运用AI技术优化服务流程、提升风控能力，最终实现 科技向善？ 在业内人士看来，AI大模型的出现，带来了三个全新能力：知识理解、碎片信息学习和知识推理，这 为风控科技注入了全新动能。 让服务更具"智慧" 过去10年间，我国消费金融虽经历了充分发展，但金融供给的错配问题依然存在，比如，对于初入社会 的年轻人、新蓝领等群体，普惠金融供给仍存在不足。 近年来，部分消费金融机构重点探索应用AI技术，包括智能风控技术、数字交互技术等，为用户创造 更好的服务体验。 "大模型实现了传统风控难以达成的突破，首先，它能自主挖掘更多特征，捕捉以往忽略的视角，大幅 丰富用户画像维度；其次，可高效学习碎片化信息，显著提升碎片化客群的模型性能；再次，能学习人 工审核专员的审批逻辑，进而制定'一人一策'的风控策略。 ...

Core Insights - The financial industry is becoming a primary battlefield for AI technology applications, driven by the Chinese government's initiative to implement "AI+" across various sectors [1] - Consumer finance companies are leveraging AI to optimize service processes and enhance risk control capabilities while ensuring compliance [1] Group 1: AI Technology in Consumer Finance - AI technology is being explored by consumer finance institutions to address the mismatch in financial supply, particularly for underserved groups like young people and new blue-collar workers [1] - The emergence of large AI models has introduced new capabilities such as knowledge understanding, fragmented information learning, and knowledge reasoning, injecting new momentum into risk control technology [2] - Ant Consumer Finance has transitioned from automation to intelligent applications of AI in risk control, aiming to reduce information asymmetry through user-submitted data and real-time scenario data [2][3] Group 2: Advancements in Risk Control - The shift in credit risk management is moving from "rule-driven" to "data-driven," ultimately progressing to "cognitive-driven" approaches [3] - Companies like Zhaolian Consumer Finance and Zhongyuan Consumer Finance are developing open-source large models and integrated risk control systems to enhance financial scenario processing capabilities [3] - The AI intelligent risk control system of Zhongyou Consumer Finance has achieved a 98% automation approval rate, demonstrating efficiency and safety [3] Group 3: Human-Centric Financial Services - AI models are being utilized to create customized financial services that are more relatable and accessible, particularly in rural revitalization and support for vulnerable groups [4] - The "Fuhui Yang" smart farming project by Mashang Consumer Finance exemplifies how technology can assist farmers through digital management and AI marketing solutions [4][5] - The project has been implemented in 22 districts in Chongqing, creating over 1,600 jobs and facilitating loans of 1.6 million yuan for farmers, resulting in an increase in income of over 15 million yuan [5] Group 4: Enhancing Accessibility - Companies are exploring AI applications to provide more accessible financial services, such as optimizing voice interaction for elderly and rural users [5] - The "Xingdou" intelligent risk control system by Hayin Consumer Finance analyzes multidimensional information to expand the coverage of inclusive financial services while controlling risk exposure [5] - AI is not merely a cold technological tool but is being used to deliver financial services in a warmer, more human-centric manner, ensuring that inclusive finance reaches those in need [5]