Predictive models supporting judicial decision: some food for thought

被引：0

作者：

Scamardella, Francesca ^{[1
]}

Vestoso, Margherita ^{[1
]}

机构：

[1] Univ Napoli Federico II, Dipartimento Giurisprudenza, Corso Umberto I,40, I-80132 Naples, Italy

来源：

RIVISTA DI FILOSOFIA DEL DIRITTO-JOURNAL OF LEGAL PHILOSOPHY | 2023年 / 12卷 / 01期

关键词：

Artificial Intelligence; Algorithm; Loomis Case; Theory of Argumentation; Legal Reasoning;

D O I：

暂无

中图分类号：

B [哲学、宗教];

学科分类号：

01 ; 0101 ;

摘要：

This essay focuses on some legal and epistemological implications linked to the use of artificial intelligence in judicial decisions. The authors try to highlight the link amongst scientific data, statistics and artificial intelligence with the aim to investigate how this information can be used by a judge in his/her decisional process. By analyzing the main studies concerning the use of technology in trials and reconstructing the school-case known as the Loomis case, the article tries to understand if the artificial intelligence can ensure the certainty of law with a correct and fair decision or if it can never replace totally the legal reasoning led by a human agent (the judge). The essay arises from a research led within the national project "LAILA - Legal Analytics for Italian Law" (P.R.I.N. 2017).

引用

页码：135 / 156

页数：22

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