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Legal regulation of artificial intelligence in international trade

Authors: Valeria Petric;

Legal regulation of artificial intelligence in international trade

Abstract

This article examines the legal regulation of artificial intelligence (AI) within the context of international trade. As AI technologies increasingly influence global commerce, the need for a cohesive legal framework becomes paramount. The paper explores existing regulatory approaches across various jurisdictions, highlighting the challenges of harmonizing standards to accommodate the rapid evolution of AI. It analyses key issues such as intellectual property rights, liability, while proposing recommendations for international cooperation and the development of comprehensive guidelines. By addressing the intersection of AI and international trade law, this article aims to contribute to the ongoing discourse on fostering innovation while ensuring legal compliance and protecting stakeholders' interests.

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Keywords

data protection, Comerț global, cooperare internaţională, искусственный интеллект, inteligenţă artificială, international cooperation, global trade, Regulatory Harmonisation, права интеллектуальной собственности, глобальная торговля, Artificial Intelligence, protecţia datelor, drepturi de proprietate intelectuală, Armonizare reglementară, защита данных, intellectual property rights, международное сотрудничество, гармонизациярегулирования

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
gold
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