Henrik Palmer Olsen
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Recent Grants
Grant: Close
PACTA - Public Administration and Computational Transparency in Algorithms
Open Date: 2019-01-01
Close Date: 2022-12-01
Grant: Close
From Dogma to Data: Exploring How Case Law Evolves
Open Date: 2014-12-01
Close Date: 2017-11-01
Articles (14)
What information should and can be transparent for artificial intelligence (AI) algorithms? This article examines the socio-technical and legal perspectives of transparency in relation to algorithmic decision-making in public administration. We show how transparency in AI can be understood in light of the various technologies and the challenges one may encounter. Despite some first steps in that direction, there exists so far no mature standard for documenting AI models. From a legal perspective, this article examined the applicable freedom of information (FOI) regimes across different jurisdictions, with a particular focus on Denmark and other Scandinavian countries. Despite notable differences, our findings show that the FOI regimes generally only grant access to existing documents, and that access can be denied on the basis of the wide proprietary interests and internal documents exemptions. This is why we ultimately conclude that the European data-protection framework and the proposed EU AI Act — with their far-reaching duties to document the functioning of AI systems — provide promising new avenues for research and insights into transparency in AI.
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2024
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2024
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2024
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2024
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2023
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2023
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2023
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2022
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2022
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2022
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2021
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2021
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2021
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2020
Collaborators (10)
Karen Richmond
Københavns Universitet
Thomas Gammeltoft-Hansen
Københavns Universitet
Jacob Livingston Slosser
Københavns Universitet
Thomas Hildebrandt
Professor
University of Copenhagen
Thomas B. Moeslund
Aalborg University
Trine Rask Nielsen
Københavns Universitet
Martin Lolle Christensen
Københavns Universitet
Anna Murphy Høgenhaug
Aalborg University
Naja Holten Moller
Københavns Universitet
Asbjørn William Ammitzbøll Flügge
University of Copenhagen
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