本项目提出“智能时代如何识别金融科技风险与平台治理”的科学问题。该问题是金融科技与智能知识管理的热点问题，具有广泛的实际背景。为了揭示金融科技风险识别机理，首先，研究金融科技市场数据特征与风险特征，具体探索利用深度学习解释金融科技风险与金融科技平台之间的关系机理；其次，研究金融科技风险识别的知识模型：用设计科学设计金融风险传感模型，研究模型中的风险感知器、情绪感知器、信任感知器、安全感知器，用来获取金融科技风险知识与知识图谱；再次，探索金融科技中风险、情绪、信任、安全之间的相互影响机理；最后，构建金融科技平台治理模型。在研究中，拟选择金融科技中3类平台来验证理论成果。项目的价值：从深度学习视角探索金融科技风险知识识别方法；揭示金融科技风险知识管理机理和金融科技创新商务应用模式。

Based on the context of intelligent era, this project puts forward a scientific problems：How to identification the risk knowledge and designing models of governance platforms of FinTech. The problem is a hot and important digital finance and intelligent knowledge management issues in the knowledge management analytics with a wide range of actual background. In order to improve the model of risk knowledge and platforms governance of FinTech, the project study on the mechanism of risk knowledge identifications in FinTech from the DL. Firstly, the project analysis the common features of source of FinTech markets and risk pattern of the characteristics of FinTech platforms source，the project specifically aims to address the gap of the relationship between risk and platforms of FinTech by DL; Secondly, the project research the risk knowledge identifications model and designing for risk artifact for FinTech with models of risk sensor, sentiment sensor, trust sensor, safety sensor of digital finance relevance based on risk knowledge map; Thirdly, present a relationship model for risk, sentiment, trust, safety in FinTech platforms and then answer the question: what is the mechanism of FinTech platforms governance. Finally, We propose a model of FinTech platforms governance which can identify risk knowledge based on DL; which can find risk knowledge and the mechanism of FinTech platforms governance. We verify these findings which will choice three types of FinTech platforms based on DL. The research contributions can provide the new methodologies of risk knowledge identification and the mechanism of designing a model of platforms governance; it can provide a apply model for FinTech knowledge management based on DL of intelligent context