大数据算法歧视的决策危机与风险防控  

Decision Crisis and Risk Prevention and Control of Big Data Algorithm Discrimination

作　　者：关金金[1] 卢敬孔 Guan Jinjin;Lu Jingkong(Anhui Vocational College of Industry and Commerce,Hefei 23113,China;Anhui State Owned Capital Operation Holding Group Co.,Ltd.,Hefei 230000,China)

机构地区：[1]安徽工商职业学院,安徽合肥231131 [2]安徽国有资本运营控股集团有限公司,安徽合肥230000

出　　处：《黑河学院学报》2023年第4期62-64,70,共4页Journal of Heihe University

基　　金：2021安徽省人文社会科学研究重点项目“区块链技术在教育大数域中的应用研究”(SK2021A1092)。

摘　　要：大数据算法具有两面性:一方面,大数据技术的快速发展渗透到社会的各个领域,惠泽各方;另一方面,算法黑箱的不透明性、复杂性和隐蔽性给个人大数据、社会大数据和政府大数据也带来诸如算法杀熟、信息同质、交易不公等风险。立足国情,完善算法公正规范体系,健全算法风险法律防控,从而平衡科技创新与价值权益,使算法能客观公正地支撑大数据技术服务体系。There are two sides to everything.It is the same with big data algorithms:on the one hand,the rapid development of big data technology permeates all fi elds of society,benefi ting all parties;on the other hand,the opacity,complexity and concealment of black box bring risks to the big data relating individuals,the society and the government,such as algorithm killing,information homogeneity,unfair transaction,etc.Therefore,in line with national conditions,we should improve the algorithm fair and normative system,improve the legal prevention and control of algorithm risk,balance the scientifi c and technological innovation and value rights and interests,so that the algorithm can objectively and fairly support the big data technology service system.

关 键 词：大数据 算法歧视 决策危机 风险防控 

分 类 号：D922.8[政治法律—法学]