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The Principle of Transparency in the Context of Legal Regulation of Artificial Intelligence Systems

The Principle of Transparency in the Context of Legal Regulation of Artificial Intelligence Systems

Abstract

Ukraine continues to develop its own approach to the legal regulation of artificial intelligence, with due regard to the international standards developed to date. One of the objectives of the proposed legal regulation is to ensure it remains balanced and flexible so that it does not hinder further technological developments, while also protecting the rights of individuals who might be affected by AI systems, including data subject rights, insofar as AI systems involve certain personal data processing operations. For these purposes, a theoretical and legal discussion regarding the main aspects of AI regulation at the European Union level — currently the leading authority in this field — is important. Its risk-based regulatory framework and existing transparency requirements should be properly considered in Ukraine, especially in light of Ukraine’s commitment to implement the EU acquis in accordance with the EU-Ukraine Association Agreement.The discourse on AI regulation in the EU and beyond demonstrates that AI technologies—their development and subsequent use—must be transparent, with transparency often construed broadly. Notably, transparency itself is an important safeguard against AI-related abuses and a prerequisite for implementing other key principles of AI regulation, particularly accountability and responsibility on the part of AI system developers and deployers. At the same time, transparency is a complex requirement, and its application requires consideration of the peculiarities of AI technology itself and existing legislative limitations, including those relating to personal data protection and the protection of intellectual property rights.The article explores the prerequisites for the emergence of the transparency requirement for AI systems, confirms the importance of transparency in the context of AI regulation, and examines the theoretical and legal aspects of this principle and its transformation into regulatory requirements at the EU level.

Україна продовжує розробляти власний підхід до правового регулювання штучного інтелекту. З огляду на це важливою є теоретико-правова дискусія щодо основних аспектів регулювання ШІ на рівні Європейського Союзу, який на сьогодні є лідером у цій сфері. Дискурс щодо питань регулювання ШІ демонструє, що технології ШІ — їхнє розроблення та подальше використання — повинні бути прозорими. Саме прозорість є важливою гарантією від зловживань, пов’язаних із ШІ, та передумовою реалізації інших ключових принципів, пов’язаних із регулюванням ШІ, зокрема підзвітності та відповідальності розробників та користувачів систем ШІ. Водночас прозорість є комплексною вимогою, а для її застосування потрібно врахувати особливості самої технології ШІ та законодавчих обмежень, включно з обмеженнями щодо захисту персональних даних та охорони об’єктів права інтелектуальної власності. У статті досліджено передумови виникнення вимоги щодо прозорості систем ШІ, підтверджено важливість прозорості в контексті регулювання ШІ та розглянуто теоретико-правові аспекти цього принципу та його трансформацію в регуляторні вимоги на рівні ЄС.

Keywords

transparency, ШІ, legal regulation, AI, штучний інтелект, principle of transparency, принцип прозорості, прозорість, artificial intelligence, правове регулювання

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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
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