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RESEARCH CENTER FOR INDUSTRIAL DEVELOPMENT PROBLEMS of NAS of Ukraine (KHARKIV, UKRAINE)

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Liburkina L. M.

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Normative Algorithmic Governance of Economic Systems:The Conceptual Foundations for Reconciling Economic, Social, Societal, and Institutional Dimensions
Shevchenko B. O., Nepokupna T. A., Yakovenko L. I., Stepanenko S. V.

Shevchenko, Borys O. et al. (2026) “Normative Algorithmic Governance of Economic Systems:The Conceptual Foundations for Reconciling Economic, Social, Societal, and Institutional Dimensions.” Business Inform 8:17–27.
https://doi.org/10.32983/2222-4459-2026-8-17-27

Section: Economic Theory

Article is written in Ukrainian
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UDC 330.101:004.8:005

Abstract:
The article substantiates the conceptual foundations of normative algorithmic governance of economic systems amid the growing role of algorithms in economic decision-making and implementation. The aim of the study is to substantiate the normative foundations of algorithmic governance of economic systems and to develop a conception for reconciling economic efficiency, societal well-being, social justice, and institutional legitimacy in decision-making by artificial intelligence systems. The methodological framework is based on systemic, institutional, and normative approaches, complemented by the principles of interdisciplinary analysis of the economic, social, and societal consequences of algorithmic decisions. Normative algorithmic governance is conceptualized through interconnected economic, social, societal, and institutional dimensions, respectively oriented towards economic rationality, social justice, societal well-being, and institutional legitimacy. It is substantiated that the normative quality of algorithmic governance is determined not by the maximization of a single criterion but by achieving an acceptable balance among these measurements. The principles of normative algorithmic choice and its role in ensuring the legitimacy and societal acceptability of algorithmic decisions are identified. The practical significance of the findings lies in their applicability to the development of economic governance algorithms, decision-support systems, and relevant institutional regulatory mechanisms. A promising direction for further research is the development of criteria and procedures for assessing the normative quality of algorithmic decisions and their empirical validation. The scientific value of the study lies in the conceptual substantiation of normative algorithmic governance as a mechanism for reconciling economic efficiency, social justice, societal well-being, and institutional legitimacy.

Keywords: normative algorithmic governance; normative algorithmic choice; economic systems; economical solution; economic efficiency; social justice; societal well-being; institutional legitimacy.

Fig.: 1. Tabl.: 1. Bibl.: 28.

Shevchenko Borys O. – Candidate of Sciences (Economics), Associate Professor, Associate Professor, Department of Political Economy, Poltava V. H. Korolenko National Pedagogical University (2 Ostrohradskoho Str., Poltava, 36000, Ukraine)
Email: [email protected]
Nepokupna Tetiana A. – Candidate of Sciences (Economics), Associate Professor, Associate Professor, Department of Political Economy, Poltava V. H. Korolenko National Pedagogical University (2 Ostrohradskoho Str., Poltava, 36000, Ukraine)
Email: [email protected]
Yakovenko Larysa I. – Doctor of Sciences (Economics), Professor, Professor, Department of Political Economy, Poltava V. H. Korolenko National Pedagogical University (2 Ostrohradskoho Str., Poltava, 36000, Ukraine)
Email: [email protected]
Stepanenko Serhii V. – Candidate of Sciences (Economics), Associate Professor, Head of the Department, Department of Political Economy, Poltava V. H. Korolenko National Pedagogical University (2 Ostrohradskoho Str., Poltava, 36000, Ukraine)
Email: [email protected]

List of references in article

Bai Y., Kadavath S., Kundu S., Askell A. & Kernion J. (2022). Constitutional AI: Harmlessness from AI Feedback. arXiv. https://doi.org/10.48550/arXiv.2212.08073
Barocas S., Hardt M. & Narayanan A. (2023). Fairness and machine learning. Limitations and Opportunities. https://fairmlbook.org/pdf/fairmlbook.pdf
dig.watch. Council of Europe Framework Convention on Artificial Intelligence and Human Rights, Democracy and the Rule of Law (Explanatory Report). https://dig.watch/resource/council-of-europe-framework-convention-on-artificial-intelligence-and-human-rights-democracy-and-the-rule-of-law-explanatory-report
Dwork C., Hardt M., Pitassi T., Reingold O. & Zemel R. (2012). Fairness Through Awareness. Proceedings of the 3rd Innovations in Theoretical Computer Science Conference (ITCS) (pp. 214–226). https://doi.org/10.1145/2090236.2090255
Emmerich M. & Deutz A. (2024). Multicriteria Optimization and Decision Making: Principles, Algorithms and Case Studies. arXiv. https://doi.org/10.48550/arXiv.2407.00359
eur-lex.europa.eu. (2024). Regulation (EU) 2024/1689 laying down harmonised rules on artificial intelligence (Artificial Intelligence Act). https://eur-lex.europa.eu/eli/reg/2024/1689/oj/eng
Floridi L. & Cowls J. (2019). Unified Framework of Five Principles for AI in Society. Harvard Data Science Review. https://hdsr.mitpress.mit.edu/pub/l0jsh9d1/release/8
Gabriel I., Manzini A., Keeling G., Hendricks L. A., Rieser V. & Iqbal H. (2024). The Ethics of Advanced AI Assistants. arXiv. https://doi.org/10.48550/arXiv.2404.16244
Gabriel I. (2020). Artificial Intelligence, Values and Alignment. Minds and Machines. https://link.springer.com/article/10.1007/s11023-020-09539-2
Gubkin A. Dynamic Pricing Models: Types, Algorithms, and Best Practices. https://coralogix.com/ai-blog/dynamic-pricing-models-types-algorithms-and-best-practices/
Hachkevych A. (2025). Poniattia ta pravova osnova avtomatyzovanoho pryiniattia rishen v Ukraini [Concept and legal basis of automated decision-making in Ukraine]. Ukrainskyi chasopys konstytutsiinoho prava, 3, 86–97. https://www.constjournal.com/wp-content/uploads/issues/2025-3/2025-3.pdf
Harsanyi J. C. (1953). Cardinal Utility in Welfare Economics and in the Theory of Risk-taking. Journal of Political Economy, 5(61), 434–434. https://www.journals.uchicago.edu/doi/10.1086/257416
IBM Design for AI. Everyday ethics for AI. https://www.ibm.com/design/ai/ethics/everyday-ethics/
iso.org. (2023). ISO/IEC 42001:2023 Information technology – Artificial intelligence – Management system. https://www.iso.org/standard/42001
Liang A. & Lu J. (2024). Algorithmic Fairness and Social Welfare. AEA Papers and Proceedings, 114, 509–513. https://arxiv.org/pdf/2404.04424
Mitchell S., Potash E., Barocas S., D'Amour A. & Lum K. (2021). Algorithmic Fairness: Choices, Assumptions, and Definitions. Annual Review of Statistics and Its Application, 8, 141–163. https://doi.org/10.1146/annurev-statistics-042720-125902
Mittelstadt B. D., Allo P., Taddeo M., Wachter S. & Floridi L. (2016). The Ethics of Algorithms: Mapping the Debate. Big Data & Society. https://journals.sagepub.com/doi/epub/10.1177/2053951716679679
moneyveo.ua. Shcho take kredytnyi skorynh i yak vin pratsiuie [What is credit scoring and how it works]. https://moneyveo.ua/uk/article/kredutnuy-skorung
Mykytiuk P. & Mykytiuk Yu. (2023). Upravlinnia efektyvnistiu investytsiinoho proiektuvannia iz vykorystanniam ekonomiko-matematychnoho modeliuvannia [Management of investment project efficiency using economic and mathematical modeling]. Visnyk Ekonomiky, 1, 166–181. https://doi.org/10.35774/visnyk2023.01.166
OECD. (2019). AI Principles. https://www.oecd.org/en/topics/ai-principles.html
The Economist (2026, June 24). Why big AI labs are hiring so many philosophers. https://www.economist.com/science-and-technology/2026/06/24/why-big-ai-labs-are-hiring-so-many-philosophers
Papagiannidis E., Mikalef P. & Conboy K. (2025). Responsible artificial intelligence governance: A review and research framework. Journal of Strategic Information Systems, 2(34), Article 101885. https://doi.org/10.1016/j.jsis.2024.101885
Rawls J. (1971). A Theory of Justice. Harvard University Press. https://www.production.hup.harvard.edu/file/feeds/PDF/9780674042582_sample.pdf
Rossi F. Building Trustworthy Artificial Intelligence. Journal of International Affairs, 1(72). https://www.jstor.org/stable/26588348
sap.com. Smart Recruiters dlia SAP Success Factors. https://www.sap.com/ukraine/products/hcm/recruiting-software.html
Sen A. (1970). Collective Choice and Social Welfare. San Francisco: Holden-Day. https://archive.org/details/collectivechoice0000sena_l7w8/page/n3/mode/2up
UNESCO. (2021). Recommendation on the Ethics of Artificial Intelligence. https://surl.li/kmjhqc
Vinnyk O. M. (2018). Pravove zabezpechennia tsyfrovoi ekonomiky ta elektronnoho biznesu: monohrafiia [Legal support of the digital economy and electronic business: monograph]. Kyiv: NDI pryvatnoho prava i pidpryiemnytstva im. F. H. Burchaka NAPrN Ukrainy. https://drive.google.com/file/d/1vxqKHGxjYnZ30HgZUU6TNAZEXytW5nsK/view