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AGAINST EXPLAINABLE ARTIFICIAL INTELLIGENCE IN LAW: WHY JUSTIFIABLE AI MATTERS. A CREDIT SCORING EXAMPLE

2026, 110, No. 1

Nicolaus Copernicus University in Toruń


Publication date

01.07.2026

Publishing model

open access

License type


Field

law studies

Discipline

criminology

Language of publication

English

Downloads

PDF 467 KB

Article

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Number of downloads:1

Crossref citations:0

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Abstract

Artificial intelligence-based solutions offer new efficiency-increasing possibilities in many applications, including credit scoring. Yet, the increasing sophistication of machine-learning models in use raises concerns regarding many of their aspects, explainability notwithstanding. We review the relevant EU legal background and integrate this review with insights from technical sciences to interpret relevant legal provisions in the light of technological possibilities. We reject the narrow interpretations of the right to explanation and suggest the broad one, which encompasses not only technical explanations but also a legal justification as the only one that allows for safeguarding the creditors’ rights in an operative manner.

Keywords:

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