mlsanityData to 14 Oct 2026

Using Issues to Explain Legal Decisions

arXiv 2106.14688 ↗First posted 25 Jun 2021cs.AI cs.LGcited by 1

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Abstract (arXiv)

The need to explain the output from Machine Learning systems designed to predict the outcomes of legal cases has led to a renewed interest in the explanations offered by traditional AI and Law systems, especially those using factor based reasoning and precedent cases. In this paper we consider what sort of explanations we should expect from such systems, with a particular focus on the structure that can be provided by the use of issues in cases.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 2 of its 60 references that are in the map. First posted on arXiv 25 Jun 2021.

Builds on

2 of 60 references.

References · 2

  1. 2017Explanation in Artificial Intelligence: Insights from the Social Sciencescited by 1,206
  2. 2019Neural Legal Judgment Prediction in Englishcited by 209

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Citing papers per year: 2022: 1.

1 paper.

  1. 2022Using Argumentation Schemes to Model Legal Reasoningcited by 0