Assessment of the effectiveness of international standards and regulatory acts governing artificial intelligence models for Ukraine

Authors

DOI:

https://doi.org/10.30837/rt.2025.4.223.01

Keywords:

cybersecurity, security, artificial intelligence, technology, standardisation

Abstract

The article presents a comprehensive study of the effectiveness of international standards and regulatory acts in the field of artificial intelligence (AI) with the aim of determining the most appropriate model for their implementation in Ukraine. The aim of the work is to conduct a comparative assessment of the leading approaches to AI regulation developed in the EU, the US, Canada, the UK, South Korea, China and other countries, as well as recognised international ISO/IEC standards. The study is based on the comprehensive use of multi-criteria analysis methods: pairwise comparisons, determination of weight coefficients on the Fishburn scale, ranking methods, scoring and numerical evaluation. The assessment was carried out using a system of unconditional and conditional criteria, including validity, flexibility, ethics, complexity, progressiveness, level of transparency of algorithms, prospects for integration, availability of institutional support, and impact on innovative development. The use of the MathCad environment allowed for mathematical modelling and calculation of integral performance indicators.

The results showed that the most balanced and promising for implementation in Ukraine are the European approach (EU AI Act) and the Canadian approach (AIDA), which demonstrate a high level of regulatory maturity, transparency of regulatory procedures, the presence of an ethical component, and effective institutional support. The American approach (NIST AI RMF) and the ISO/IEC 23894 standard took intermediate positions due to their versatility and flexibility. In contrast, the Chinese model showed the lowest adaptability to Ukrainian conditions due to the dominance of centralised control principles. The proposed assessment methodology can be used to develop a national AI regulation strategy in Ukraine aimed at ensuring a balance between security, ethics and innovative technological development.

References

Горбенко І. Д. Методи, методика та результати порівняльного аналізу електронних підписів згідно ДСТУ ISO/IEC 14888-3:2014 / І. Д. Горбенко, М. В. Єсіна // Вісник Нац. ун-ту “Львівська політехніка”: Серія “Автоматика, вимірювання та керування”. Львів : Львівська політехніка, 2016. № 852. С. 9–22.

Горбенко Ю. І., Ганзя Р. С., Акользіна О. С. Електронні підписи на основі ідентифікаторів та бінарного відображення // Прикладна радіоелектроніка. 2015. Т. 14. № 4. С. 284–290.

EU AI Act: first regulation on artificial intelligence. [Електронний ресурс]. Режим доступу: https://www.europarl.europa.eu/topics/en/article/20230601STO93804/eu-ai-act-first-regulation-on-artificial-intelligence.

Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile. [Електронний ресурс]. Режим доступу: https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.600-1.pdf.

Information technology – Artificial intelligence – Guidance on risk management [Електронний ресурс]. Ре-жим доступу: https://cdn.standards.iteh.ai/samples/77304/cb803ee4e9624430a5db177459158b24/ISO-IEC-23894-2023.pdf.

AI Watch: Global regulatory tracker – United Arab Emirates. [Електронний ресурс]. Режим доступу: https://www.whitecase.com/insight-our-thinking/ai-watch-global-regulatory-tracker-uae.

Albania turns to AI to beat corruption and join EU [Електронний ресурс]. Режим доступу: https://www.politico.eu/article/albania-use-ai-artificial-intelligenve-join-eu-corruption/.

Interim Measures for the Management of Generative Artificial Intelligence Services [Електронний ресурс]. Режим доступу: https://www.chinalawtranslate.com/en/generative-ai-interim/#gsc.tab=0.

A pro-innovation approach to AI regulation 3 August 2023 [Електронний ресурс]. Режим доступу: https://www.gov.uk/government/publications/ai-regulation-a-pro-innovation-approach/white-paper?utm_source=chatgpt.com#part-7-conclusion-and-next-steps.

The Artificial Intelligence and Data Act (AIDA) – Companion document. [Електронний ресурс]. Режим доступу: https://ised-isde.canada.ca/site/innovation-better-canada/en/artificial-intelligence-and-data-act-aida-companion-document.

South Korea Artificial Intelligence (AI) Basic Act [Електронний ресурс]. Режим доступу: https://www.trade.gov/market-intelligence/south-korea-artificial-intelligence-ai-basic-act

Oletsky O. Enhancing Consistency of Pairwise Comparisons on the Base of Linear Algebraic Equations. NaUKMA Research Papers. Computer Science. 2023. Т. 5. С. 85–91. [Електронний ресурс]. Режим доступу: http://nrpcomp.ukma.edu.ua/article/view/275238.

Lyashenko, E. M., Klymash, M. P., Lyashko, O. A. On creation of expert knowledge base for estimation of state of organizational systems // International Journal of Fuzzy Systems and Advanced Applications. 2014. Vol. 1. P. 7–13.

Alguliyev R. M., Nabibayova G. Ch., & Abdullayeva S. R. Evaluation of websites by many criteria using the algorithm for pairwise comparison of alternatives // I.J. Intelligent Systems and Applications. 2020. Vol. 12, No. 6. P. 64–74. https://doi.org/10.5815/ijisa.2020.06.05.

Published

2025-12-24

How to Cite

Lohachova, Y., Yesina, M., & Holubnychyi, D. (2025). Assessment of the effectiveness of international standards and regulatory acts governing artificial intelligence models for Ukraine. Radiotekhnika, (223), 7–17. https://doi.org/10.30837/rt.2025.4.223.01

Issue

Section

Articles