Human-centred explanation of rule-based decision-making systems in the legal domain

2023/10/25 by Suzan Zuurmond, AnneMarie Borg, Zuurmond, Suzan +5
Computer Science · #Semantic Web and Ontologies #Recommender Systems and Techniques #Multi-Agent Systems and Negotiation

paper · pdf · doi:10.48550/arxiv.2310.16704

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.

Related

• A taxonomy of explanations to support Explainability-by-Design
• The explanation dialogues: an expert focus study to understand requirements towards explanations within the GDPR
• The Case Against Explainability
• Using Issues to Explain Legal Decisions
• The explainability of automated decision-making: a historical perspective through EU Legislation