Relevant distinctions in relation to explainability in the public sector
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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.
Original language | English |
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Title of host publication | Proceedings of the 2nd European Conference on the Impact of Artificial Intelligence and Robotics, ECIAIR 2020 |
Editors | Florinda Matos |
Number of pages | 7 |
Publisher | Academic Conferences and Publishing International |
Publication date | 2020 |
Pages | 86-92 |
ISBN (Electronic) | 9781912764747 |
DOIs | |
Publication status | Published - 2020 |
Event | 2nd European Conference on the Impact of Artificial Intelligence and Robotics, ECIAIR 2020 - Lisbon, Portugal Duration: 22 Oct 2020 → 23 Oct 2020 |
Conference
Conference | 2nd European Conference on the Impact of Artificial Intelligence and Robotics, ECIAIR 2020 |
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Land | Portugal |
By | Lisbon |
Periode | 22/10/2020 → 23/10/2020 |
Series | Proceedings of the European Conference on the Impact of Artificial Intelligence and Robotics, ECIAIR 2020 |
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- Administrative law, Artificial intelligence, Explainability, Machine learning, Ombudsman, Transparency
Research areas
ID: 255729589