How should AI decisions be explained? Requirements for Explanations from the Perspective of European Law

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Hauptverfasser: Fresz, Benjamin, Dubovitskaya, Elena, Brajovic, Danilo, Huber, Marco, Horz, Christian
Format: Preprint
Veröffentlicht: 2024
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author Fresz, Benjamin
Dubovitskaya, Elena
Brajovic, Danilo
Huber, Marco
Horz, Christian
author_facet Fresz, Benjamin
Dubovitskaya, Elena
Brajovic, Danilo
Huber, Marco
Horz, Christian
contents This paper investigates the relationship between law and eXplainable Artificial Intelligence (XAI). While there is much discussion about the AI Act, for which the trilogue of the European Parliament, Council and Commission recently concluded, other areas of law seem underexplored. This paper focuses on European (and in part German) law, although with international concepts and regulations such as fiduciary plausibility checks, the General Data Protection Regulation (GDPR), and product safety and liability. Based on XAI-taxonomies, requirements for XAI-methods are derived from each of the legal bases, resulting in the conclusion that each legal basis requires different XAI properties and that the current state of the art does not fulfill these to full satisfaction, especially regarding the correctness (sometimes called fidelity) and confidence estimates of XAI-methods. Published in the Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society https://doi.org/10.1609/aies.v7i1.31648 .
format Preprint
id arxiv_https___arxiv_org_abs_2404_12762
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle How should AI decisions be explained? Requirements for Explanations from the Perspective of European Law
Fresz, Benjamin
Dubovitskaya, Elena
Brajovic, Danilo
Huber, Marco
Horz, Christian
Artificial Intelligence
Computers and Society
This paper investigates the relationship between law and eXplainable Artificial Intelligence (XAI). While there is much discussion about the AI Act, for which the trilogue of the European Parliament, Council and Commission recently concluded, other areas of law seem underexplored. This paper focuses on European (and in part German) law, although with international concepts and regulations such as fiduciary plausibility checks, the General Data Protection Regulation (GDPR), and product safety and liability. Based on XAI-taxonomies, requirements for XAI-methods are derived from each of the legal bases, resulting in the conclusion that each legal basis requires different XAI properties and that the current state of the art does not fulfill these to full satisfaction, especially regarding the correctness (sometimes called fidelity) and confidence estimates of XAI-methods. Published in the Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society https://doi.org/10.1609/aies.v7i1.31648 .
title How should AI decisions be explained? Requirements for Explanations from the Perspective of European Law
topic Artificial Intelligence
Computers and Society
url https://arxiv.org/abs/2404.12762