Human-centred explanation of rule-based decision-making systems in the legal domain
Abstract
We propose a human-centred explanation method for rule-based automated decision-making systems in the legal domain. Firstly, we establish a conceptual framework for developing explanation methods, representing its key internal components (content, communication and adaptation) and external dependencies (decision-making system, human recipient and domain). Secondly, we propose an explanation method that uses a graph database to enable question-driven explanations and multimedia display. This way, we can tailor the explanation to the user. Finally, we show how our conceptual framework is applicable to a real-world scenario at the Dutch Tax and Customs Administration and implement our explanation method for this scenario.
Keywords
Cite
@article{arxiv.2310.16704,
title = {Human-centred explanation of rule-based decision-making systems in the legal domain},
author = {Suzan Zuurmond and AnneMarie Borg and Matthijs van Kempen and Remi Wieten},
journal= {arXiv preprint arXiv:2310.16704},
year = {2023}
}
Comments
This is the full version of a demo at the 36th International Conference on Legal Knowledge and Information Systems (JURIX'23)