法律决策中的启发式

Q1 Arts and Humanities

Acta Baltica Historiae et Philosophiae Scientiarum Pub Date : 2020-05-20 DOI:10.11590/abhps.2020.1.03

Thomas Hoffmann

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引用次数: 0

摘要

随着基于算法的决策的出现，这些决策是在深度学习系统的“黑盒子”中生成的，它们对伦理和法律的影响引起了争议，人类的法律决策在很大程度上不是基于理性选择，因此既不可演绎也不可预测，这一事实往往在法律讨论中被忽视。本文对人类法律决策中的启发式模式进行了概述，指出了启发式模式的缺陷和优点，并对在法律实践中如何规避启发式模式的风险提出了建议。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Heuristics in Legal Decision-Making

With the advent of algorithm-based decisions, generated in the “black boxes” of deep learning ensembles and their controversially discussed ethical and legal implications, the fact that human legal decision-making is to a large degree not based on rational choices, and thus also neither deducible nor predictable, tends to be neglected in legal discussion. this article intends to provide an overview on heuristic patterns in human legal decision-making by pointing out their flaws and benefits, and also provides some advice on how to hedge its risks in legal practice.

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来源期刊

Acta Baltica Historiae et Philosophiae Scientiarum Arts and Humanities-History

CiteScore

0.80

自引率

0.00%

发文量

审稿时长

30 weeks

期刊介绍： Acta Baltica Historiae et Philosophiae Scientiarum sees its mission in offering publishing opportunities for Baltic and non-Baltic scholars in the field of the history and philosophy of natural and social sciences (including legal studies) to promote and further international cooperation between scholars of different countries in this field.