Generative AI in EU law: Liability, privacy, intellectual property, and cybersecurity
Генеративный искусственный интеллект в праве Европейского союза: ответственность, конфиденциальность, интеллектуальная собственность и кибербезопасность
2024-10-24
SCID: 54.1/rtdr23hg
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AI liabilityArtificial Intelligence ActEU lawGenerative AILarge language models
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Abstract (AI)
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.
Key Findings
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.
Research Object
Generative AI systems, particularly large language models (LLMs), deployed in the European Union
Research Subject
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
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