@inproceedings{f45728300cb147c5bc01ff6d48128413,
title = "Relevant distinctions in relation to explainability in the public sector",
abstract = "This paper argues that jurisprudence can offer a relevant contribution to the international debate on the use of artificial intelligence in the public sector. From a legal perspective, a distinction can and should be made between two types of AI-based solutions, namely fact-producing and those that represent a transformation of norms (legislation). Under Danish Administrative Law, mainly the latter solutions must be fully explainable. This distinction might be relevant for other disciplines than jurisprudence and be a contribution to the internationally debated hot topic of whether transparency must be ensured via ethical principles or regulation.",
keywords = "Administrative law, Artificial intelligence, Explainability, Machine learning, Ombudsman, Transparency",
author = "Motzfeldt, {Hanne Marie} and Ayo N{\ae}sborg-Andersen",
year = "2020",
doi = "10.34190/EAIR.20.002",
language = "English",
series = "Proceedings of the European Conference on the Impact of Artificial Intelligence and Robotics, ECIAIR 2020",
pages = "86--92",
editor = "Florinda Matos",
booktitle = "Proceedings of the 2nd European Conference on the Impact of Artificial Intelligence and Robotics, ECIAIR 2020",
publisher = "Academic Conferences and Publishing International",
address = "United Kingdom",
note = "2nd European Conference on the Impact of Artificial Intelligence and Robotics, ECIAIR 2020 ; Conference date: 22-10-2020 Through 23-10-2020",
}