Towards Transparent Human-in-the-Loop Classification of Fraudulent Web Shops

被引：9

作者：

Odekerken, Daphne ^{[1
,2
]}

Bex, Floris ^{[1
,3
]}

机构：

[1] Univ Utrecht, Dept Informat & Comp Sci, Utrecht, Netherlands

[2] Netherlands Police, Natl Police Lab AI, Driebergen, Netherlands

[3] Tilburg Univ, Tilburg Inst Law Technol & Soc, Tilburg, Netherlands

来源：

LEGAL KNOWLEDGE AND INFORMATION SYSTEMS | 2020年 / 334卷

关键词：

law enforcement; dynamic argumentation; legal case-based reasoning;

D O I：

10.3233/FAIA200873

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We propose an agent architecture for transparent human-in-the-loop classification. By combining dynamic argumentation with legal case-based reasoning, we create an agent that is able to explain its decisions at various levels of detail and adapts to new situations. It keeps the human analyst in the loop by presenting suggestions for corrections that may change the factors on which the current decision is based and by enabling the analyst to add new factors. We are currently implementing the agent for classification of fraudulent web shops at the Dutch Police.

引用

页码：239 / 242

页数：4

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