The Empire Strikes Back: Digital Control of Unfair Terms of Online Services

被引：25
作者：
Micklitz H.-W. [1 ]
Pałka P. [1 ]
Panagis Y. [2 ]
机构：
[1] Department of Law, European University Institute, Florence
[2] iCourts Centre of Excellence for International Courts, University of Copenhagen, Copenhagen
来源：
Journal of Consumer Policy | 2017年 / 40卷 / 3期
关键词：
Automation; Digital; Enforcement; Machine learning; Unfair terms;
D O I：
10.1007/s10603-017-9353-0
中图分类号：
学科分类号：
摘要：
The authors argue that it is possible to partly automate the process of abstract control of fairness of clauses in online consumer contracts. The authors present a theoretical and empirical argument for this claim, including a brief presentation of the software they have designed. This type of automation would not replace human lawyers but would assist them and make their work more effective and efficient. Policy makers should direct their attention to the potential of using algorithmic techniques in enforcing the law regarding unfair contractual terms, and to facilitating research on and ultimately implementing such technologies. © 2017, Springer Science+Business Media, LLC.
引用
收藏
页码：367 / 388
页数：21
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