大數(shù)據(jù)視閾下的風(fēng)險分配正義
發(fā)布時間:2018-12-10 16:01
【摘要】:大數(shù)據(jù)發(fā)展中存在數(shù)據(jù)來源失實性、數(shù)據(jù)傳遞失真性、數(shù)據(jù)分析失效性、數(shù)據(jù)應(yīng)用失序性和數(shù)據(jù)存儲失控性等問題,將導(dǎo)致大量數(shù)據(jù)風(fēng)險產(chǎn)生,并對個體發(fā)展、國家安全和社會穩(wěn)定造成嚴(yán)重影響。當(dāng)前,大數(shù)據(jù)風(fēng)險分配中存在分配主體單一、分配程序不科學(xué)、分配制度不完善和風(fēng)險補償化解不合理等問題,由此導(dǎo)致大數(shù)據(jù)風(fēng)險分配不正義。對此,必須強化數(shù)據(jù)風(fēng)險意識,不斷提升數(shù)據(jù)素養(yǎng);恪守分配正義理念,有效化解數(shù)據(jù)風(fēng)險;加快數(shù)據(jù)立法,降低數(shù)據(jù)風(fēng)險;提升技術(shù)水平,規(guī)避數(shù)據(jù)風(fēng)險;強化社會保障,弱化數(shù)據(jù)風(fēng)險;創(chuàng)建合作平臺,協(xié)同治理數(shù)據(jù)風(fēng)險。
[Abstract]:In the development of big data, there are some problems, such as data source distortion, data transmission distortion, data analysis failure, data application disorder and data storage runaway, which will lead to a large number of data risks and individual development. National security and social stability have serious implications. At present, there are some problems in big data's risk distribution, such as single distribution subject, unscientific distribution procedure, imperfect distribution system and unreasonable risk compensation, which leads to the unfairness of big data's risk distribution. In view of this, we must strengthen the awareness of data risk, constantly improve data literacy, adhere to the concept of distribution justice, effectively resolve data risk, accelerate data legislation, reduce data risk, improve the technical level, and avoid data risk. Strengthen the social security, weaken the data risk, establish the cooperation platform, and manage the data risk in cooperation.
【作者單位】: 延安大學(xué)政法學(xué)院;
【基金】:國家社會科學(xué)基金項目(16BZX013) 陜西省教育廳人文社科研究基地類重點項目(16JZ094)
【分類號】:TP311.13
,
本文編號:2370849
[Abstract]:In the development of big data, there are some problems, such as data source distortion, data transmission distortion, data analysis failure, data application disorder and data storage runaway, which will lead to a large number of data risks and individual development. National security and social stability have serious implications. At present, there are some problems in big data's risk distribution, such as single distribution subject, unscientific distribution procedure, imperfect distribution system and unreasonable risk compensation, which leads to the unfairness of big data's risk distribution. In view of this, we must strengthen the awareness of data risk, constantly improve data literacy, adhere to the concept of distribution justice, effectively resolve data risk, accelerate data legislation, reduce data risk, improve the technical level, and avoid data risk. Strengthen the social security, weaken the data risk, establish the cooperation platform, and manage the data risk in cooperation.
【作者單位】: 延安大學(xué)政法學(xué)院;
【基金】:國家社會科學(xué)基金項目(16BZX013) 陜西省教育廳人文社科研究基地類重點項目(16JZ094)
【分類號】:TP311.13
,
本文編號:2370849
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