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1. 中国银联股份有限公司,上海 201201
2. 同济大学电子与信息工程学院,上海 200092
3. 复旦大学计算机科学技术学院,上海 200433
4. 中国科学院自动化研究所复杂系统管理与控制国家重点实验室,北京 100190
Published Online:2020-09,
Published:20 September 2020
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Hongfeng CHAI, Shuai WANG, Xiaojun TU, et al. Intelligent innovative regulatory tools on financial technology:concept,platform framework,and prospects[J]. Chinese journal of intelligent science and technology, 2020, 2(3): 214-226.
Hongfeng CHAI, Shuai WANG, Xiaojun TU, et al. Intelligent innovative regulatory tools on financial technology:concept,platform framework,and prospects[J]. Chinese journal of intelligent science and technology, 2020, 2(3): 214-226. DOI: 10.11959/j.issn.2096-6652.202024.
针对金融科技监管面临的复杂严峻挑战以及现有“监管沙箱”高度依赖人工操作的局面,指出中国“金融科技创新监管工具”的重要特色和发展趋势在于“智能化”。提出一套系统的“智能化金融科技创新监管工具”平台框架,即利用科技手段实现对金融科技创新应用的全生命周期监管。详细阐述了智能化金融科技创新监管工具的组成要素,包括区块链底层、舆情监测平台、基于知识图谱的可解释性人工智能等,并对其中涉及的关键技术进行说明。介绍了该创新监管工具工程开发时采用的新型迭代方法论——“螺旋形”开发模式和需求层次驱动的迭代设计。最后,对智能化创新监管工具提出若干思考与展望,指出该监管工具将创造一套监管科技基础设施,服务于监管部门和广大金融机构。
In view of the complex and severe challenges faced by financial technology regulation and the lag behind situation of the existing regulatory sandbox which is highly dependent on manual operation
the important feature and development trend of the Chinese “innovative regulatory tools on financial technology” lie in “intelligence” were pointed out.A systematic platform framework of “intelligent innovative regulatory tools on financial technology” was proposed
that is
use modern means of science and technology to realize the full life cycle supervision of financial technology innovative applications.The elements of innovative regulatory tools were elaborated
including the underlying blockchain
public opinion monitoring platform
explainable artificial intelligence based on knowledge graphs
and presented the key technologies involved.The new iterative methodology used in the development of the innovative regulatory tools platform was introduced
i.e.
the spiral development model and iterative design driven by the hierarchy of needs.Towards the end
some thoughts and prospects on the proposed innovative regulatory tools were put forward
and the regulatory tools are expected to create a set of regulatory technology infrastructure to serve regulatory authorities and financial institutions were pointed out.
杨东 . 监管科技:金融科技的监管挑战与维度建构 [J ] . 中国社会科学 , 2018 ( 5 ): 69 - 91 ,205-206.
YANG D . Supervising and regulating science and technology:supervisory challenges and dimensional construction of financial technology [J ] . Social Sciences in China , 2018 ( 5 ): 69 - 91 ,205-206.
蔡元庆 , 黄海燕 . 监管沙盒:兼容金融科技与金融监管的长效机制 [J ] . 科技与法律 , 2017 ( 1 ): 1 - 12 .
CAI Y Q , HUANG H Y . Regulatory sandbox:financial technology is compatible with financial regulation in the long-term mechanism [J ] . Journal of Science,Technology and Law , 2017 ( 1 ): 1 - 12 .
杨宇焰 . 金融监管科技的实践探索、未来展望与政策建议 [J ] . 西南金融 , 2017 ( 11 ): 22 - 29 .
YANG Y Y . Practical exploration,future prospects and policy recommendations of financial regulatory technology [J ] . Southwest Finance , 2017 ( 11 ): 22 - 29 .
李文红 , 蒋则沈 . 金融科技(FinTech)发展与监管:一个监管者的视角 [J ] . 金融监管研究 , 2017 ( 3 ): 1 - 13 .
LI W H , JIANG Z S . The development and supervision of FinTech:from the perspective of regulators [J ] . Financial Regulation Research , 2017 ( 3 ): 1 - 13 .
Financial Conduct Authority . Regulatory sandbox [R ] . 2015 .
胡滨 , 杨涵 . 英国金融科技“监管沙盒”制度借鉴与我国现实选择 [J ] . 经济纵横 , 2019 ( 11 ): 103 - 114 ,2.
HU B , YANG H . The experience and enlightenment of regulatory sandbox for FinTech in Britain [J ] . Economic Review Journal , 2019 ( 11 ): 103 - 114 ,2.
许多奇 . 金融科技的“破坏性创新”本质与监管科技新思路 [J ] . 东方法学 , 2018 ( 2 ): 4 - 13 .
XU D Q . The “disruptive innovation” nature of financial technology and new thoughts for regulatory technology [J ] . Oriental Law , 2018 ( 2 ): 4 - 13 .
孙国峰 . RegTech是科技与监管的有机结合 [R ] . 2017 .
SUN G F . RegTech is an organic combination of technology and supervision [R ] . 2017 .
Deloitte Consulting . RegTech is the new FinTech:how agile regulatory technology is helping firms better understand and manage their risks [R ] . 2017 .
柴洪峰 . 金融大数据及银行卡产业大数据实践 [J ] . 上海金融 , 2013 ( 10 ): 27 - 29 ,116.
CHAI H F . Big data in finance industry and the big data practice in bank card industry [J ] . Shanghai Finance , 2013 ( 10 ): 27 - 29 ,116.
范一飞 . 我国金融科技创新监管工具探索与实践 [J ] . 中国金融 , 2020 ( 8 ): 9 - 11 .
FAN Y F . Exploration and practice of regulatory tools with respect to FinTech innovation in China [J ] . China Finance , 2020 ( 8 ): 9 - 11 .
中国人民银行 . 金融科技(FinTech)发展规划(2019—2021 年) [R ] . 2019 .
The People’s Bank of China . Financial technology development plan [R ] . 2019 .
袁勇 , 王飞跃 . 区块链技术发展现状与展望 [J ] . 自动化学报 , 2016 , 42 ( 4 ): 481 - 494 .
YUAN Y , WANG F Y . Blockchain:the state of the art and future trends [J ] . Acta Automatica Sinica , 2016 , 42 ( 4 ): 481 - 494 .
欧阳丽炜 , 袁勇 , 郑心湖 , 等 . 基于区块链的传染病监测与预警技术 [J ] . 智能科学与技术学报 , 2020 , 2 ( 2 ): 135 - 143 .
OUYANG L W , YUAN Y , ZHENG X H , et al . A novel block chain-based surveillance and early-warning technology for infectious diseases [J ] . Chinese Journal of Intelligent Science and Technology , 2020 , 2 ( 2 ): 135 - 143 .
谭亦夫 , 李子臣 . 基于Shamir门限秘密分享的图像可视加密算法 [J ] . 网络与信息安全学报 , 2018 , 4 ( 7 ): 69 - 76 .
TAN Y F , LI Z C . Image visualization encryption algorithm based on Shamir threshold secret key sharing [J ] . Chinese Journal of Network and Information Security , 2018 , 4 ( 7 ): 69 - 76 .
WANG S , OUYANG L W , YUAN Y , et al . Blockchain-enabled smart contracts:architecture,applications and future trends [J ] . IEEE Transactions on Systems,Man,and Cybernetics:Systems , 2019 , 49 ( 11 ): 2266 - 2277 .
王飞跃 , 袁勇 , 王帅 , 等 . 军事区块链:从不对称的战争到对称的和平 [J ] . 指挥与控制学报 , 2018 , 4 ( 3 ): 175 - 182 .
WANG F Y , YUAN Y , WANG S , et al . Military blockchain:from asymmetric warfare to symmetric peace [J ] . Journal of Command and Control , 2018 , 4 ( 3 ): 175 - 182 .
柴洪峰 , 李锐 , 王兴建 , 等 . 基于数据挖掘的异常交易检测方法 [J ] . 计算机应用与软件 , 2013 , 30 ( 1 ): 165 - 170 .
CHAI H F , LI R , WANG X J , et al . A data mining-based method of transaction anomaly detection [J ] . Computer Applications and Software , 2013 , 30 ( 1 ): 165 - 170 .
CHEN H , ZHENG X , ZENG D D . Analyzing the co-movement and its spatial-temporal patterns in Chinese stock market [J ] . Physica A:Statistical Mechanics and its Applications , 2020 ,555:124655.
HE S , ZHENG X , ZENG D D . Modeling online user behaviors with competitive interactions [J ] . Information & Management , 2019 , 56 ( 4 ): 463 - 475 .
张钹 . 人工智能进入后深度学习时代 [J ] . 智能科学与技术学报 , 2019 , 1 ( 1 ): 4 - 6 .
ZHANG B . Artificial intelligence is entering the post deep-learning era [J ] . Chinese Journal of Intelligent Science and Technology , 2019 , 1 ( 1 ): 4 - 6 .
杨玉基 , 许斌 , 胡家威 , 等 . 一种准确而高效的领域知识图谱构建方法 [J ] . 软件学报 , 2018 , 29 ( 10 ): 2931 - 2947 .
YANG Y J , XU B , HU J W , et al . Accurate and efficient method for constructing domain knowledge graph [J ] . Journal of Software , 2018 , 29 ( 10 ): 2931 - 2947 .
周一鸣 . 探究美国 SpaceX 公司的发展与成功 [J ] . 国际太空 , 2014 ( 9 ): 27 - 29 .
ZHOU Y M . Explore the development and success of SpaceX [J ] . Space International , 2014 ( 9 ): 27 - 29 .
章政 , 柴洪峰 , 孙权 . 基于复杂系统工程思想的智慧医疗模式研究 [J ] . 科技进步与对策 , 2018 , 35 ( 24 ): 36 - 40 .
ZHANG Z , CHAI H F , SUN Q . Research on smart medical model based on complex system engineering ideas [J ] . Science & Technology Progress and Policy , 2018 , 35 ( 24 ): 36 - 40 .
郑南宁 . 人工智能新时代 [J ] . 智能科学与技术学报 , 2019 , 1 ( 1 ): 1 - 3 .
ZHENG N N . The new era of artificial intelligence [J ] . Chinese Journal of Intelligent Science and Technology , 2019 , 1 ( 1 ): 1 - 3 .
金磐石 , 万光明 , 沈丽忠 . 基于知识图谱的小微企业贷款申请反欺诈方案 [J ] . 大数据 , 2019 , 5 ( 4 ): 100 - 112 .
JIN P S , WAN G M , SHEN L Z . Knowledge graph-based fraud detection for small and micro enterprise loans [J ] . Big Data Research , 2019 , 5 ( 4 ): 100 - 112 .
李伟 . 着力打造中国特色金融科技创新监管体系 [J ] . 清华金融评论 , 2020 ( 1 ): 85 - 87 .
LI W . Efforts to build a financial technology innovation regulation system with Chinese characteristics [J ] . Tsinghua Financial Review , 2020 ( 1 ): 85 - 87 .
曹汉平 , 张晓晶 , 祝睿杰 , 等 . 数字金融时代机器学习模型在实时反欺诈中的应用与实践 [J ] . 智能科学与技术学报 , 2019 , 1 ( 4 ): 342 - 351 .
CAO H P , ZHANG X J , ZHU R J , et al . Application and practice of machine learning model in real-time anti-fraud in the era of digital finance [J ] . Chinese Journal of Intelligent Science and Technology , 2019 , 1 ( 4 ): 342 - 351 .
胡鹏飞 . 金融科技在互联网金融行业性风险防范领域的应用 [J ] . 大数据 , 2018 , 4 ( 1 ): 117 - 123 .
HU P F . Application of FinTech in Internet financial industry risk prevention [J ] . Big Data Research , 2018 , 4 ( 1 ): 117 - 123 .
王健宗 , 黄章成 , 肖京 . 人工智能赋能金融科技 [J ] . 大数据 , 2018 , 4 ( 3 ): 111 - 116 .
WANG J Z , HUANG Z C , XIAO J . Artificial intelligence energize FinTech [J ] . Big Data Research , 2018 , 4 ( 3 ): 111 - 116 .
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