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Transparency in the Labyrinths of the EU AI Act: Smart or Disbalanced?

Summary: 1. Introduction. – 2. Research Methodology. – 3. Overview of AI Transparency in the EU AI Act. – 3.1. Particularities of AI Transparency in the EU AI Act. – 3.2. Limitations of AI Transparency. – 4.Transparency Zones. –4.1. Zero Transparency Zone. – 4.2. Basic Transparency Zone. – 4.3. Moderate Transparency Zone. – 4.4. High Transparency Zone. – 4.5. Hybrid Transparency Zone. – 5. Conclusion.

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  Background: Complete transparency in artificial intelligence is impossible to achieve.[1] In the interdependent technological context, the scope of artificial intelligence transparency and the logic behind the values that outweigh transparency are unclear. Legislation on artificial intelligence, such as the European Union Artificial Intelligence Act (hereinafter the EU AI Act), tries to define the true meaning and role of AI transparency.

Methods: The author applies doctrinal research and comparative analysis methods to assess AI transparency in the EU AI Act; a framework of distinct transparency zones is established. Doctrinal research helps to define the scope of transparency obligations and examine their limitations and interaction within the EU AI Act, while comparative analysis highlights inconsistencies, such as an unexplained difference between transparency duties in distinct zones or different requirements for open source and proprietary AI.

Results and conclusions: The findings reveal a fragmented and uneven framework of artificial intelligence transparency in the EU AI Act, shaped by many exemptions, exceptions, derogations, restrictions, and other limitations. The zero-transparency zone (established by Article 2) is too broad, with much discretion given to stakeholders. In contrast, the basic transparency zone (set by Article 50) is too narrow, posing risks to fundamental human rights. The next zone, the moderate transparency zone (Chapter V), struggles with responsibility sharing between AI providers and downstream deployers. Meanwhile, the high transparency zone (provided in Chapter III) privileges law enforcement. Lastly, the hybrid transparency zone highlights complications in managing interactions between different risk-level AI systems.The author concludes that the EU AI Act is progressive but needs more fine-tuning to function as a coherent and solid transparency framework. The scales between public interest in artificial intelligence transparency, individual and societal rights, and legitimate interests risk being calibrated post-factum.

[1] Mona Sloane and others, ‘Introducing Contextual Transparency for Automated Decision Systems’ (2023) 5 Nature Machine Intelligence 188, doi:10.1038/s42256-023-00623-7.

Abstract

 Background: Complete transparency in artificial intelligence is impossible to achieve.[1] In the interdependent technological context, the scope of artificial intelligence transparency and the logic behind the values that outweigh transparency are unclear. Legislation on artificial intelligence, such as the European Union Artificial Intelligence Act (hereinafter the EU AI Act), tries to define the true meaning and role of AI transparency.

Methods: The author applies doctrinal research and comparative analysis methods to assess AI transparency in the EU AI Act; a framework of distinct transparency zones is established. Doctrinal research helps to define the scope of transparency obligations and examine their limitations and interaction within the EU AI Act, while comparative analysis highlights inconsistencies, such as an unexplained difference between transparency duties in distinct zones or different requirements for open source and proprietary AI.

Results and conclusions: The findings reveal a fragmented and uneven framework of artificial intelligence transparency in the EU AI Act, shaped by many exemptions, exceptions, derogations, restrictions, and other limitations. The zero-transparency zone (established by Article 2) is too broad, with much discretion given to stakeholders. In contrast, the basic transparency zone (set by Article 50) is too narrow, posing risks to fundamental human rights. The next zone, the moderate transparency zone (Chapter V), struggles with responsibility sharing between AI providers and downstream deployers. Meanwhile, the high transparency zone (provided in Chapter III) privileges law enforcement. Lastly, the hybrid transparency zone highlights complications in managing interactions between different risk-level AI systems.The author concludes that the EU AI Act is progressive but needs more fine-tuning to function as a coherent and solid transparency framework. The scales between public interest in artificial intelligence transparency, individual and societal rights, and legitimate interests risk being calibrated post-factum.

[1] Mona Sloane and others, ‘Introducing Contextual Transparency for Automated Decision Systems’ (2023) 5 Nature Machine Intelligence 188, doi:10.1038/s42256-023-00623-7.

About Authors

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АНОТАЦІЯ УКРАЇНСЬКОЮ МОВОЮ

 

Дослідницька стаття

 

ПРОЗОРІСТЬ У ЛАБІРИНТАХ ЗАКОНУ ЄС ПРО ШІ: РОЗУМНО ЧИ НЕЗБАЛАНСОВАНО?

 

Гінтаре Макаускайте-Самуоле

 

АНОТАЦІЯ

Вступ: Повної прозорості у сфері штучного інтелекту досягти неможливо.[1] У взаємозалежному технологічному контексті обсяг прозорості штучного інтелекту та логіка цінностей, які переважають над прозорістю, залишаються незрозумілими. Законодавство про штучний інтелект, наприклад, Закон Європейського Союзу про штучний інтелект (далі - Закон ЄС про ШІ), намагається визначити справжнє значення і роль прозорості ШІ.

Методи: Автор застосовує доктринальне дослідження та методи порівняльного аналізу для оцінки прозорості штучного інтелекту в Законі ЄС про ШІ; встановлюються межі щодо чітких зон прозорості. Доктринальне дослідження допомагає визначити обсяг зобов’язань щодо прозорості та вивчити їхні обмеження та взаємодію в Законі ЄС про штучний інтелект, тоді як порівняльний аналіз висвітлює неузгодженості, такі як непояснена різниця між обов’язками щодо прозорості в окремих зонах або різні вимоги до відкритого та пропрієтарного ШІ.

Результати та висновки: Результати дослідження розкривають фрагментарну та нерівномірну структуру прозорості штучного інтелекту в Законі ЄС про ШІ, сформовану багатьма винятками, відступами, лімітами та іншими обмеженнями. Зона нульової прозорості (встановлена ​​статтею 2) є надто широкою і надає значну свободу дій зацікавленим сторонам. На противагу цьому, основна зона прозорості (встановлена ​​статтею 50) є надто вузькою, що створює ризики для фундаментальних прав людини. Наступна зона, зона помірної прозорості (Розділ V), має проблеми з розподілом відповідальності між постачальниками штучного інтелекту та тими, хто розгортає технології. Тим часом зона високої прозорості (описана в Розділі III) надає перевагу правоохоронним органам. Нарешті, гібридна зона прозорості підкреслює труднощі в управлінні взаємодією між системами ШІ з різними рівнями ризику.

Автор робить висновок, що Закон ЄС про штучний інтелект є прогресивним, але потребує доопрацювання, щоб функціонувати як цілісна та надійна система прозорості. Шкала між суспільним інтересом до прозорості штучного інтелекту, індивідуальними та суспільними правами та законними інтересами ризикує бути відкаліброваною постфактум.

Ключові слова: прозорість ШІ, Закон ЄС про штучний інтелект, зони прозорості, регуляторні обмеження, інновації проти прозорості.


[1] Mona Sloane and others, ‘Introducing Contextual Transparency for Automated Decision Systems’ (2023) 5 Nature Machine Intelligence 188, doi:10.1038/s42256-023-00623-7.

 

Keywords

AI transparencyEU AI Acttransparency zonesregulatory limitationsinnovation vs. transparency

Publication history

  •  

    Date of submission - 22 Dec 2024

    Date of acceptance - 06 Feb 2025

    Date of Online First publication: 26 Mar 2025

    Date of publication 14 May 2025

    Whether the manuscript was fast tracked – No

    Number of reviewer report submitted in first round – Three

    Number of revision rounds – 1 round, revised version submitted 06 Feb 2025

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    Managing editor – Mag. Bohdana Zahrebelna. Section Editor – Prof. Tetiana Tsuvina. English Editor – Julie Bold. Ukrainian language Editor – Lilia Hartman.

How to cite it?

  • Makauskaite-Samuole G, ‘Transparency in the Labyrinths of the EU AI Act: Smart or

    Disbalanced?’ (2025) 8(2) Access to Justice in Eastern Europe 1-31 ˂https://doi.org/

    10.33327/AJEE-18-8.2-a000105˃ Published Online 26 Mar 2025

    Date of publication 14 May 2025


     This research is part of the project The Jean Monnet Center of Excellence ‘European Fundamental Values in Digital Era’, 101085385 – EFVDE – ERASMUS-JMO-2022-HEI-TCH-RSCH. Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or EACEA. Neither the European Union nor the granting authority can be held responsible for them.

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