Proceedings of the UUM 13th International Legal Conference 2025 (UUMILC 2025)

UUM 13th International Legal Conference 2025 (UUMILC 2025)

📍Sintok, Malaysia🗓️ 22-23 October 2025

Models of Using Artificial Intelligence Systems in Legal and Ethical Dimensions: From Data Processing to Legal Subjectivity

Authors
Dmitry Voronkov1, *, Mukhtar Sadykov2
1Criminalistics department named after I.F. Gerasimov, Ural State Law University named after V.F. Yakovlev, 620066, Yekaterinburg, Russia
2Department of Special Legal Disciplines, Institute of postgraduate education, Academy of Law Enforcement Agencies under the Prosecutor General’s Office of the Republic of Kazakhstan, 010078, Kosshy, Akmola Region, Kazakhstan
*Corresponding author.
Corresponding Author
Dmitry Voronkov
Available Online 7 October 2026.
DOI
10.2991/978-94-6239-785-9_11How to use a DOI?
Keywords
Artificial Intelligence; Artificial Neural Network; AI ethics; Transparency; Explainability
Abstract

This article reflects on the legal and ethical use of artificial intelligence systems by sketching out models drawn from real-world concerns: how personal data is handled, how responsibility for harm might be assigned, and whether AI could – or should – be treated as a legal actor. Rather than aiming for a fixed answer, the paper uses modelling to consider different legal outlooks and ethical positions that emerge at the boundary between technological agency and institutional responsibility. The core questions involve the transparency (or explainability) of data processing, accountability for errors in automated decision-making, and the legal treatment of AI as a potential subject of rights and duties. The article argues that artificial intelligence has already become a structuring force in contemporary society, directly or indirectly affecting most spheres of human life. Its further integration requires not only legal adaptability but also ethical foresight. A coherent framework for responsible AI governance must include transparency and explainability in how data is sourced and processed (particularly where hidden layers of artificial neural networks remain inaccessible to human interpretation), a clear legal basis for deployment in sensitive domains such as medicine, education, and law enforcement, the formulation of ethical codes that reflect plural social values, and public engagement to build trust and awareness of both the benefits and risks of such systems. These conditions are essential if the development and diffusion of artificial intelligence are to proceed not only innovatively but also legitimately and socially sustainably.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the UUM 13th International Legal Conference 2025 (UUMILC 2025)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
7 October 2026
ISBN
978-94-6239-785-9
ISSN
2667-128X
DOI
10.2991/978-94-6239-785-9_11How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Dmitry Voronkov
AU  - Mukhtar Sadykov
PY  - 2026
DA  - 2026/10/07
TI  - Models of Using Artificial Intelligence Systems in Legal and Ethical Dimensions: From Data Processing to Legal Subjectivity
BT  - Proceedings of the UUM 13th International Legal Conference 2025 (UUMILC 2025)
PB  - Atlantis Press
SP  - 149
EP  - 160
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6239-785-9_11
DO  - 10.2991/978-94-6239-785-9_11
ID  - Voronkov2026
ER  -