Generative AI in EU law: Liability, privacy, intellectual property, and cybersecurity

Генеративный искусственный интеллект в праве Европейского союза: ответственность, конфиденциальность, интеллектуальная собственность и кибербезопасность
Claudio Novelli, Federico Casolari, Philipp Hacker, Giorgio Alfredo Spedicato, Luciano Floridi
2024-10-24

AI liabilityArtificial Intelligence ActEU lawGenerative AILarge language models
The complexity and emergent autonomy of Generative AI systems introduce challenges in predictability and legal compliance. This paper analyses some of the legal and regulatory implications of such challenges in the European Union context, focusing on four areas: liability, privacy, intellectual property, and cybersecurity. It examines the adequacy of the existing and proposed EU legislation, including the Artificial Intelligence Act (AIA), in addressing the challenges posed by Generative AI in general and LLMs in particular. The paper identifies potential gaps and shortcomings in the EU legislative framework and proposes recommendations to ensure the safe and compliant deployment of generative models.
1
Existing and proposed EU legislation, including the Artificial Intelligence Act, may be inadequate for addressing challenges posed by generative AI and large language models.
2
Generative AI’s complexity and emergent autonomy create challenges for predictability and legal compliance in the European Union.
3
The EU legislative framework contains potential gaps and shortcomings requiring attention.
4
The analysis focuses on four legal domains: liability, privacy, intellectual property, and cybersecurity.
5
The paper proposes recommendations aimed at enabling safer and legally compliant deployment of generative models.

Generative AI systems, particularly large language models (LLMs), deployed in the European Union

Adequacy and gaps of the EU legal and regulatory framework concerning liability, privacy, intellectual property, cybersecurity, predictability, and compliant deployment of generative AI

Publication Details
Publication Date
2024-10-24
Journal
Publisher
ISSN
Cited by
90
Access Type
Author Information
Authors
Claudio Novelli
Federico Casolari
Philipp Hacker
Giorgio Alfredo Spedicato
Luciano Floridi
Explore further
Open the scid.ai AI chat with a ready-made request: it will find papers on a similar topic and help build a literature review.
Find similar papers in the chat
Make a presentation
100%