Explaining Factor Ascription

Mumford, Jack ORCID: 0000-0003-2467-5785, Atkinson, Katie ORCID: 0000-0002-5683-4106 and Bench-Capon, Trevor ORCID: 0000-0003-3975-4398 (2021) Explaining Factor Ascription. .

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Official URL: http://dx.doi.org/10.3233/faia210335

Abstract

<jats:p>Explanation and justification of legal decisions has become a highly relevant topic in light of the explosion of interest in the use of machine learning (ML) approaches to predict legal decisions. Current suggestions are to use the established factor based explanations developed in AI and Law as the basis for explaining such programs. We, however, identify factor ascription as an important aspect of explanation of case outcomes not currently covered, and argue that explanations must also include this aspect. Finally, we outline our proposal for a hybrid system approach that combines ML and Abstract Dialectical Framework (ADF) layers to engender an explainable process.</jats:p>

Item Type:	Conference or Workshop Item (Unspecified)
Divisions:	Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User:	Symplectic Admin
Date Deposited:	22 Apr 2022 15:55
Last Modified:	15 Mar 2024 04:14
DOI:	10.3233/faia210335
Open Access URL:	https://ebooks.iospress.nl/doi/10.3233/FAIA210335
Related URLs:	Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3153662