A legal framework for AI training data—from first principles to the Artificial Intelligence Act. Issue 2 (3rd July 2021)

• Record Type: Journal Article
• Authors: Hacker, Philipp
• Is Part Of: Law, innovation and technology. Volume 13:Issue 2(2021)
• Page Start: 257
• Page End: 301
• Publication Date: 2021-07-03
• Subjects: Artificial intelligence -- data protection law -- anti-discrimination law -- TDM exception -- Artificial Intelligence Act; Technological innovations -- Law and legislation -- Periodicals; Intellectual property -- Periodicals; 338.064
• DOI: 10.1080/17579961.2021.1977219
• Languages: English
• ISSNs: 1757-997X

Abstract

ABSTRACT: 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.