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大数据征信时代下被遗忘权的现实逻辑及构建路径

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在大数据征信时代下,信用信息的范畴和类型在算法技术的支持下不断延展与扩张.在全量化数据分析、聚集性数据存储以及信用大数据开放共享的背后,存在社会信用主体的人格权益和信息自决权受损的潜在风险.当前失信联合惩戒适用范围过宽、措施泛化以及信用修复机制效果欠佳,社会失信主体对于行使被遗忘权还其"清白历史"的需求比以往更加迫切.为了平衡被遗忘权与其他利益的冲突,社会信用主体应秉持比例原则,在符合时间要素、行为要素的前提下适用被遗忘权.
The Realistic Logic and Construction Path of Right to be Forgotten in the Era of Big Data Credit Reporting
In the Internet age,the concept of the right to be forgotten has emerged and evolved as"everything is analyzed,everything is recorded".At the same time,in the era of big data credit reporting,the scope and types of credit information are constantly expanding and expanding with the support of algorithm technology.Behind the full quantitative data analysis,aggregated data storage,and open sharing of credit big data,there is a potential risk of damage to the personality rights and information self-determination rights of social credit subjects.In the cur-rent situation where the scope of joint punishment for dishonesty is too broad,the measures are generalized,and the effectiveness of credit repair mechanisms is not satisfactory,the demand for social dishonest subjects to exercise their right to be forgotten and return their"innocent history"is more urgent than in the past.In order to balance the con-flict between the right to be forgotten and other interests,social credit subjects should adhere to the principle of pro-portionality and apply the right to be forgotten under the premise of meeting the elements of time and behavior.

big data credit reportingthe right to be forgottenpunish dishonestycredit repairsocial credit system

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湘潭大学法学院,湖南湘潭 411105

大数据征信 被遗忘权 失信惩戒 信用修复 社会信用体系

2024

中州大学学报
中州大学

中州大学学报

CHSSCD
影响因子:0.233
ISSN:1008-3715
年,卷(期):2024.41(2)
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