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.

Claudio Novelli, F.C. (2024). Generative AI in EU law: Liability, privacy, intellectual property, and cybersecurity. COMPUTER LAW & SECURITY REVIEW, 4, 1-16 [10.1016/j.clsr.2024.106066].

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

Claudio Novelli
Primo
;
Federico Casolari
Secondo
;
Giorgio Spedicato
Penultimo
;
Luciano Floridi
Ultimo
2024

Abstract

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.
2024
Claudio Novelli, F.C. (2024). Generative AI in EU law: Liability, privacy, intellectual property, and cybersecurity. COMPUTER LAW & SECURITY REVIEW, 4, 1-16 [10.1016/j.clsr.2024.106066].
Claudio Novelli, Federico Casolari, Philipp Hacker, Giorgio Spedicato, Luciano Floridi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/994881
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