Relevant Distinctions in Relation to Explainability in the Public Sector
| Autor: | Motzfeldt, Hanne Marie, Næsborg-Andersen, Ayo |
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| Přispěvatelé: | Matos, Florinda |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | Motzfeldt, H M & Næsborg-Andersen, A 2020, Relevant Distinctions in Relation to Explainability in the Public Sector . in F Matos (ed.), Proceedings of the European Conference on the Impact of Artificial Intelligence and Robotics, ECIAIR 2020 : ECIAIR 2020 . Academic Conferences and Publishing International, Reading, UK, pp. 86-92, European Conference on the Impact of Artificial Intelligence and Robotics, Lisbon, Portugal, 22/10/2020 . https://doi.org/10.34190/EAIR.20.002 |
| DOI: | 10.34190/EAIR.20.002 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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