Tekijänoikeuden erikoiskirjasto

 
A legal framework for AI training data - from first principles to the Artificial Intelligence Act
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Henkilönnimi
  • Hacker, Philipp, kirjoittaja.
Nimeke- ja vastuullisuusmerkintö
  • A legal framework for AI training data - from first principles to the Artificial Intelligence Act
Julkaistu
  • 2021.
Ulkoasutiedot
  • 1 verkkoaineisto
Sarjamerkintö ei-lisäkirjausmuodossa
  • Law, Innovation and Technology, ISSN 1757-997X ; 13(2)
Huomautus sisällöstä, tiivistelmä tms.
  • In response to recent regulatory initiatives at the EU level, this article shows that training data for AI do not only play a key role in the development of AI applications, but are currently only inadequately captured by EU law. In this, I focus on three central risks of AI training data: risks of data quality, discrimination and innovation. Existing EU law, with the new copyright exception for text and data mining, only addresses a part of this risk profile adequately. Therefore, the article develops the foundations for a discrimination-sensitive quality regime for data sets and AI training, which emancipates itself from the controversial question of the applicability of data protection law to AI training data. Furthermore, it spells out concrete guidelines for the re-use of personal data for AI training purposes under the GDPR. Ultimately, the legislative and interpretive task rests in striking an appropriate balance between individual protection and the promotion of innovation. The article finishes with an assessment of the proposal for an Artificial Intelligence Act in this respect.
Asiasana
Asiasana - Kontrolloimaton
Sarjalisäkirjaus - yhtenäistetty nimeke
  • Law, Innovation and Technology, 1757-997X ; 13(2)
Elektronisen aineiston sijainti ja käyttö (URI)
  • https://doi.org/10.1080/17579961.2021.1977219 Linkki verkkoaineistoon 
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