2021/06/25 by Trevor Bench‐Capon, Bench-Capon, Trevor
Computer Science · Economics, Econometrics and Finance · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Law #FOS: Computer and information sciences #Law, Economics, and Judicial Systems #Machine Learning (cs.LG) #Multi-Agent Systems and Negotiation
paper · pdf · doi:10.48550/arxiv.2106.14688
openalex publication_date 2021/06/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.