How Artificial Intelligence Learns: Legal Aspects of Using Data in Machine Learning

Nadia Maccabiani; Anna Podolska; Ewelina Szatkowska

doi:10.26881/gsp.2024.4.03

How Artificial Intelligence Learns: Legal Aspects of Using Data in Machine Learning

Authors

Nadia Maccabiani University of Brescia https://orcid.org/0000-0003-1183-0854
Anna Podolska University of Gdansk https://orcid.org/0000-0002-5380-9570
Ewelina Szatkowska University of Gdansk https://orcid.org/0000-0001-6449-4204

DOI:

https://doi.org/10.26881/gsp.2024.4.03

Keywords:

data justice, artificial intelligence, intellectual property, data quality

Abstract

Recalling the debate around data justice in order to highlight which parts of this multifaceted concept have been endowed with legal relevance by EU legislation or initiatives, the paper argues that the EU should implement a more “instrumental” approach to data justice. This perspective emphasizes a stronger focus on the purposes addressed by the deployment of data within AI systems.

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Published

2024-12-16

How to Cite

Maccabiani, N., Podolska, A., & Szatkowska, E. (2024). How Artificial Intelligence Learns: Legal Aspects of Using Data in Machine Learning. Gdańsk Legal Studies, (4(65)/2024), 45–65. https://doi.org/10.26881/gsp.2024.4.03