计算机科学 ›› 2021, Vol. 48 ›› Issue (10): 324-333.doi: 10.11896/jsjkx.201200105

• 交叉&前沿 • 上一篇    下一篇

应用“大数据+区块链”优化立法评估制度的机理与路径

张光君1,2, 张翔1   

  1. 1 西南政法大学人工智能法学院 重庆401120
    2 智能司法研究重庆市2011协同创新中心 重庆401120
  • 收稿日期:2020-12-11 修回日期:2021-05-05 出版日期:2021-10-15 发布日期:2021-10-18
  • 通讯作者: 张光君(1203627872@qq.com)
  • 基金资助:
    2020年度重庆市教委人文社会科学基地研究项目(20JD021);西南政法大学2020年度地方立法研究规划项目(DFLF2020Y02);西南政法大学党的十九届四中全会精神理论阐释专项课题(2020XZZD-08);2020年重庆市研究生科研创新项目(CYS20173);2020年度西南政法大学人工智能法学院学术新秀科研创新项目(XSXX202010)

Mechanism and Path of Optimizing Institution of Legislative Evaluation by Applying “Big Data+Blockchain”

ZHANG Guang-jun1,2, ZHANG Xiang1   

  1. 1 School of Artificial Intelligence & Law,Southwest University of Political Science & Law,Chongqing 401120,China
    2 Chongqing 2011 Collaborative Innovation Center of Intelligent Justice Research,Chongqing 401120,China
  • Received:2020-12-11 Revised:2021-05-05 Online:2021-10-15 Published:2021-10-18
  • About author:ZHANG Guang-jun,born in 1976,Ph.D,director,research fellow.His main research interests include artificial intelligence & law,criminal law.
  • Supported by:
    Research Project of Humanities and Social Sciences Base of Chongqing Education Commission in 2020(20JD021),Local Legislation Research Planning Project of Southwest University of Political Science and Law in 2020(DFLF2020Y02),Special Project of Spiritual Theory Interpretation of the Fourth Plenary Session of the 19th CPC Central Committee of Southwest University of Political Science and Law(2020XZZD-08),Chongqing Postgraduate Scientific Research and Innovation Project in 2020(CYS20173) and Scientific Research and Innovation Project for Academic Newcomers in School of Artificial Intelligence & Law of Southwest University of Political Science & Law in 2020(XSXX202010).

摘要: 立法评估中的大数据应用有助于革除评估主体单一、数据遗漏、数据失真和结论形式化等痼疾,但仍然存在立法机关主导模式下公众参与不足、清洗方法不当导致数据质量不高、信息不对称及“算法黑箱”引发信任危机、“算法偏见”造成评估结论失之偏颇等缺陷。基于技术-制度协同演化论的进路,应用与大数据本质契合的区块链革新底层架构,补强立法评估中大数据应用的缺陷,进而建构“大数据+区块链”的融合应用模式,以公众参与激励机制、数据清洗审查机制、共识形成磋商平台和程序正当化流转平台优化立法评估制度,从而充分释放立法评估汇聚民意民智、强化民主监督、提升立法质量的制度功能。

关键词: 大数据, 立法评估, 立法质量, 区块链, 协同演化

Abstract: Although the application of big data in legislative evaluation helps to get rid of chronic diseases such as single evaluation subject,data omission,data distortion and formalization of conclusions.However,there are still some defects,such as lack of public participation under the dominant mode of the legislature,improper cleaning methods leading to poor data quality,information asymmetry,trust crisis caused by “algorithm black box”,and biased evaluation conclusions caused by algorithm bias.Based on the approach of technology-system collaborative evolution theory,this paper applies the blockchain which is consistent with the nature of big data to innovate the underlying architecture,makes up for the defects in the application of big data in legislative evaluation,and then constructs an anastomosing application model of “big data+block chain”,optimizes the legislative evaluation system with public participation incentive mechanism,data cleaning and review mechanism,consensus formation negotiation platform and procedure justification circulation platform,so as to fully release the system function of legislative evaluation to gather public opinion and wisdom,strengthen democratic supervision and improve the quality of legislation.

Key words: Big data, Blockchain, Collaborative evolution, Legislative evaluation, Legislative quality

中图分类号: 

  • D901
[1]SUI J G.The co-evolution of technology and system:theory and case study[J].Science of Science Research,2013,31(7):991-997.
[2]CAI H J,GUO Z.Discussion on the New Framework of Supply Chain Financial Services:Block-chain+Big Data[J].Theoretical Discussion,2019(2):94-101.
[3]CAO H Y.On the scientific evaluation of local legislation in the new era[J].Theory Guide,2019(2):105-112.
[4]JIANG S H,ZHANG K.The application and regulation of artificial intelligence-assisted local legislation[J].Journal of Hunan University (Social Science Edition),2019,33(4):139-146.
[5]LI C.Artificial Intelligence Assisted Legislation:Status Quo,Dilemma and countermeasures[J].National People's Congress Research,2020(4):14-20.
[6]CAO H Y,WANG Q S.The application of big data in local le-gislation public participation[J].Electronic Government,2018(10):76-86.
[7]WANG Z Z,ZHAO J L.Research on Public Participation in Local Legislation[J].Hebei Law Science,2018,36(3):19-32.
[8]ZHAO X L.Research on Representative System[M].Beijing:Contemporary World Press,2019:1.
[9]YU Z B.A comparative study of legislative decision makers[J].Law and Business Studies,2002(4):114-121.
[10]SONG F Q.The dilemma and solution of public participation in local legislation[J].Law Science,2009(12):28-31.
[11]CAO H Y.Analysis on the application of big data in post-legislative evaluation[J].Journal of Dialectics of Nature,2018,40(11):11-19.
[12]MA K.The application of data cleaning in the practice of statistical investigation[J].Research World,2018(10):57-59.
[13]MARCH J.How do decision-making come into being [M].Beijing:Machinery Industry Press,2007:185.
[14]WANG C.Algorithm Regulation under the Dimension of “Common Goodness”[J].Law Science,2019(12):66-77.
[15]REN L,DU Y,MA S,et al.Summary of Big Data Visual Analysis[J].Journal of Software,2014,25(9):1909-1936.
[16]CUI D,GUO X Y,CHEN W.Challenges and Latest Development of Big Data Visualization[J].Computer Applications,2017,37(7):2044-2049,2056.
[17]YANG X K.On the governance of algorithm discrimination and algorithm justice in the era of intelligent Internet[J].Journal of Shandong University of Science and Technology (Social Science Edition),2019,21(4):33-40,58.
[18]MAO G J,HU D J,XIE S Y.Big data classification model and algorithm based on distributed data stream[J].Chinese Journal of Computers,2017,40(1):161-175.
[19]GAO F P.Data production theory-the basic theory of data resource right allocation[J].Jiaotong University Law,2019(4):5-19.
[20]SUN G M.The essential characteristics of block-chain technology and its application in the financial field[J].Theoretical Journal,2017(2):58-67.
[21]YUAN Y,WANG F Y.Development status and Prospect ofblock-chain technology[J].Journal of Automation,2016,42(4):481-494.
[22]SWAN M.Block-chain:New Economic Blueprint and Guide[M].Translated by Han Feng,Beijing:Xinxing Publishing House,2016:Catalog.
[23]SU L N,LI H.WANG M L.The core value of block-chain lies in consensus mechanism and incentive mechanism[J].Technology and Finance,2020(6):38-41.
[24]LIU G C,LI Q.Block-chain data privacy protection mechanism based on searchable encryption[J].Computer Applications,2019,39(S2):140-146.
[25]WANG F Y,YUAN Y,WANG S,et al.Military blockchain:from asymmetric war to symmetric peace[J].Journal of Command and Control,2018,4(3):175-182.
[26]YAO M.Analysis of the mutual relationship between block-chain and law[J].People's Forum·Academic Frontiers,2020(1):96-99.
[27]ZHANG W,DING K Y.The essential characteristics of blockchain[J].China Finance,2017(18):89-90.
[28]YUAN Y,ZHOU T,ZHOU A Y,et al.Blockchain Technology:from data intelligence to knowledge automation[J].Journal of Automation,2017,43(9):1485-1490.
[29]LUO X,CAI Y T.The role of blockchain in network social go-vernance[J].Journal of Guangzhou University (Social Science Edition),2019,18(1):23-28,49.
[30]LIU Y Z,LIU J W,ZHANG Z Y,et al.A review of blockchain consensus mechanism research[J].Journal of Cryptography,2019,6(4):395-432.
[31]RUI G Q,SONG D.An Empirical Study on the Influence of Information Disclosure on Government Trust[J].Chinese Admi-nistration,2012(11):96-101.
[32]HABERMAS.Theory of Communicative Behavior (Volume 1) [M].Translated by Cao Weidong and others,Shanghai:Shanghai People's Publishing House,2005:144.
[33]YANG S H.Contemporary Western Sociological Theory [M].Beijing:Peking University Press,1999:101-102.
[34]XU Z,ZOU C W.What can and can't the block-chain do?[J].Financial Research,2018(11):1-16.
[35]LI J,HE J H.Interpretation of Block-chain and DistributedLedger Technology[J].Electronic Finance,2016(3):56-58.
[36]WU Y Y.Information capacity and stress legislation[J].Social Sciences in China,2010(1):147-159,224.
[37]WANG X P.Comprehensively promoting the rule of law andbuilding the rule of law in China-learning from Comrade Xi Jinping's important exposition on the rule of law (The first part)[J].Tianjin People's Congress,2014(4):7-9.
[38]YANG D.“Gongpiao”:a new dimension of blockchain Gover-nance[J].Oriental Law,2019(3):56-63.
[39]YU Y X,ZHANG Y G.Block-chain provides technical support for the modernization of national governance system and gover-nance capabilities[J].Shanghai Economic Research,2020(1):86-94.
[40]ZENG S Q,HUO R,HUANG T,et al.Review of blockchainTechnology:principle,progress and application[J].Acta Communication Sinica,2020,41(1):134-151.
[41]WANG H L,TIAN Y L,YIN X.Big data right confirmation scheme based on blockchain[J].Computer Science,2018,45(2):15-19,24.
[42]MENG X F,LIU L X.Block-chain and Data Governance[J].China Science Foundation,2020,34(1):12-17.
[43]WANG F,ZHAO H,MA J Y,et al.The research and practice progress of data traceability from the perspective of data science[J].Journal of Library Science in China,2019,45(5):79-100.
[44]WANG Z,ZHOU Y,HUANG C D,et al.Overview of block-chain solutions for big data applications[J].Computer Science,2019,46(S1):6-10.
[45]WANG Y F,ZHANG C Z,ZHANG B B,et al.Review of datacleaning research[J].Modern Library and Information Tech-nology,2007(12):50-56.
[46]ZHANG T.The transformation of data governance:support and imagination from block-chain technology[J].Ningxia Social Sciences,2019(6):76-82.
[47]HAN X,LIU Y M.Research on consensus mechanism in blockchain technology[J].Information Network Security,2017(9):147-152.
[48]YUAN Y,NI X C,ZENG S,et al.Development status and Prospect of blockchain consensus algorithm[J].Acta Automatica Sinica,2018,44(11):2011-2022.
[49]CHEN J H.The legal nature of algorithms:speech,trade secrets or due process?[J].Comparative Law Studies,2020(2):120-132.
[50]ZHAO L.The legal understanding and regulatory thinking of blockchain typification[J].Law and Business Research,2020,37(4):46-58.
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