Výskumná skupina umelej inteligencie a syntetických dát

English version below

Výskumná skupina na Katedre ekonomiky FPEDAS Žilinskej univerzity v Žiline skúma, ako generatívna umelá inteligencia mení prácu firiem, verejných inštitúcií a vysokých škôl. Vyvíja a overuje syntetické dáta, s ktorými sa dá pracovať bez ohrozenia súkromia osôb.

Vedúci skupiny

Ing. Juraj Cúg, PhD.
Katedra ekonomiky, Fakulta prevádzky a ekonomiky dopravy a spojov, Žilinská univerzita v Žiline
E-mail: juraj.cug@uniza.sk
Miestnosť: BF310, telefón: +421/41/513 32 17

Výskumné zameranie

generatívna AI v organizáciách: zavádzanie, riadenie a zodpovednosť,
syntetické dáta: generovanie a overovanie vernosti, užitočnosti a rizika pre súkromie,
umelá inteligencia vo vysokoškolskom vzdelávaní: asistent pedagóga a priebežná aktualizácia učebných materiálov,
regulácia umelej inteligencie: EU AI Act, GDPR a regulačný sandbox.

Členovia skupiny

Ing. Juraj Cúg, PhD. – vedúci skupiny
prof. Ing. Tomáš Klieštik, PhD. – vedúci Katedry ekonomiky
doc. Ing. Pavol Ďurana, PhD.
doc. Ing. Mária Kováčová, PhD.
Mgr. Bc. Peter Adamko, PhD. – Katedra kvantitatívnych metód a hospodárskej informatiky
Ing. Aneta Cúgová – interná doktorandka
Ing. Marcel Figura – interný doktorand

Riešené projekty

Názov projektu: Inovatívny personalizovaný Artificial Intelligence asistent pedagóga pre interaktívne vzdelávanie, efektívnu výučbu a komplexnú podporu vzdelávania (VzdelAI)
Číslo projektu: ITMS2021+ 401101C526
Program: Program Slovensko 2021 – 2027, Európsky fond regionálneho rozvoja
Doba riešenia: 2026 – 2028
Úloha skupiny: pilotné overenie asistenta, model správania používateľov, metodika nasadenia a publikácie
Web: vzdelai.uniza.sk

Názov projektu: AI-FINDATA – Metodický rámec a platforma umelej inteligencie pre validáciu AI systémov a budovanie kompetencií pre regulačný sandbox SR
Program: účelová dotácia MŠVVaM SR
Doba riešenia: 2026 – 2027
Vedecký garant: prof. Ing. Tomáš Klieštik, PhD.
Koordinátor: Ing. Juraj Cúg, PhD.
Cieľ: platforma na generovanie syntetických finančných dát, na ktorých sa dajú testovať vysokorizikové AI systémy v regulačnom sandboxe bez porušenia GDPR
Pridelené prostriedky: 250 000 €
Web: ai-findata.org

Podané projekty

Názov projektu: AI-KONTINUUM – Metodický rámec a prototyp kontinuálnej aktualizácie vysokoškolských učebných materiálov s využitím umelej inteligencie pod odborným dohľadom autora
Stav: žiadosť podaná na MŠVVaM SR
Zodpovedný riešiteľ: Ing. Juraj Cúg, PhD.
Cieľ: AI sleduje nové poznatky a navrhuje autorovi zmeny v učebných materiáloch s dôkazmi; o každej zmene rozhoduje autor

Názov projektu: Národné laboratórium syntetických dát
Stav: žiadosť podaná na MŠVVaM SR, pilotné obdobie 2027 – 2029
Zodpovedný riešiteľ: Ing. Juraj Cúg, PhD.
Cieľ: generovanie syntetických datasetov z dát univerzít a verejných inštitúcií a ich overovanie s validačným protokolom ku každému datasetu

Vybrané publikácie o generatívnej umelej inteligencii

Klieštik, T.: The Key Drivers of Generative AI Embedded Supply Chain Servitization on Food-based SMEs: Extrapolating the Technological and Managerial Factors through TISM and MICMAC Approach. International Journal of Entrepreneurial Behavior & Research (Emerald).
Klieštik, T.: Overcoming the AI barrier: how GenAI-enabled knowledge management influences knowledge-sharing behavior in SMEs. VINE Journal of Information and Knowledge Management Systems (Emerald).
Klieštik, T.: Ethical and Structural Determinants of Generative AI-Driven Healthcare Data Sharing for Financial Analysis. Information Systems Frontiers (Springer).
Klieštik, T.: From Algorithms to Accountability: How Human-AI Collaborative Policy Co-Production Shapes Public Value Through Anticipatory Governance. Government Information Quarterly (Elsevier).
Cúg, J.: Passing the Torch in knowledge-based SMEs: A dual-level moderated mediation analysis of AI integrated business transfer readiness. The Bottom Line (Emerald).
Cúg, J.: Governing the Algorithm and related legal issues: The Impact of Internal GenAI Accountability Structures on Sustainable Organizational Resilience in Tech-SMEs. International Journal of Law and Management (Emerald).
Cúg, J.: Evaluating the Impact of Dynamic Capabilities on Platform Multinational Corporations (PMNCs) from Ambidexterity and AI-Innovation Perspectives: The Moderating Role of Leadership. Strategic Change – Briefings in Entrepreneurial Finance (Wiley).
Cúg, J.: Wired for Well-being: Collaborative Governance, AI-Capability, and Inter-Organizational Well-Being as Drivers of Network Resilience and Sustainable B2B Performance in Knowledge-Based Ecosystems. Journal of Business & Industrial Marketing (Emerald).
Ďurana, P.: Enhancing organizational readiness for generative AI integration: an empirical investigation. International Journal of Organizational Analysis (Emerald).
Ďurana, P.: The Impact of Generative AI Servitization on Reward Mix Evaluation: The Equivocal Role of Job Demand and Job Resource. Strategic Change – Briefings in Entrepreneurial Finance (Wiley).
Kováčová, M.: Generative AI–Enabled Decision Support Systems and Entrepreneurial Sensemaking in Knowledge-Based SMEs: A Moderated-Mediation Model of Cognitive Flexibility and Sustainable Venture Resilience. Technology in Society (Elsevier).
Figura, M.: Generative AI-Driven Marketing Analytics and Sustainable Performance in SMEs: A Moderated Mediation Analysis of Market Agility and XAI Transparency. Global Business Review (Sage).

AI and Synthetic Data Research Group

Our research group at the Department of Economics, Faculty of Operation and Economics of Transport and Communications, University of Žilina, studies how generative AI changes the work of companies, public institutions and universities. We also develop and validate synthetic data that can be used without putting personal privacy at risk.

Principal investigator

Ing. Juraj Cúg, PhD.
Department of Economics, Faculty of Operation and Economics of Transport and Communications, University of Žilina, Slovakia
Email: juraj.cug@uniza.sk
Office: BF310, phone: +421 41 513 32 17

Research areas

generative AI in organisations: adoption, governance and accountability,
synthetic data: generation and validation of fidelity, utility and privacy risk,
AI in higher education: teaching assistants and continuous updating of course materials,
AI regulation: the EU AI Act, GDPR and regulatory sandboxes.

Members

Ing. Juraj Cúg, PhD. – principal investigator
prof. Ing. Tomáš Klieštik, PhD. – Head of the Department of Economics
doc. Ing. Pavol Ďurana, PhD.
doc. Ing. Mária Kováčová, PhD.
Mgr. Bc. Peter Adamko, PhD. – Department of Quantitative Methods and Economic Informatics
Ing. Aneta Cúgová – PhD student
Ing. Marcel Figura – PhD student

Current projects

VzdelAI, a personalised AI teaching assistant for interactive learning, EU Programme Slovakia 2021–2027 (ERDF), 2026–2028. Our group runs the pilot, the user-behaviour model, the deployment methodology and publications. vzdelai.uniza.sk
AI-FINDATA, a methodological framework and AI platform for validating AI systems in the Slovak regulatory sandbox with synthetic financial data, grant of the Ministry of Education, Research, Development and Youth of the Slovak Republic, 2026–2027, €250,000. Coordinated by Juraj Cúg. ai-findata.org

Submitted projects

AI-KONTINUUM, continuous AI-assisted updating of university course materials under the author's control. Submitted to the Ministry; principal investigator Juraj Cúg.
National Laboratory of Synthetic Data, generation and validation of synthetic datasets from universities and public bodies, pilot period 2027–2029. Submitted to the Ministry; principal investigator Juraj Cúg.

Selected publications on generative AI

Klieštik, T.: The Key Drivers of Generative AI Embedded Supply Chain Servitization on Food-based SMEs: Extrapolating the Technological and Managerial Factors through TISM and MICMAC Approach. International Journal of Entrepreneurial Behavior & Research (Emerald).
Klieštik, T.: Overcoming the AI barrier: how GenAI-enabled knowledge management influences knowledge-sharing behavior in SMEs. VINE Journal of Information and Knowledge Management Systems (Emerald).
Klieštik, T.: Ethical and Structural Determinants of Generative AI-Driven Healthcare Data Sharing for Financial Analysis. Information Systems Frontiers (Springer).
Klieštik, T.: From Algorithms to Accountability: How Human-AI Collaborative Policy Co-Production Shapes Public Value Through Anticipatory Governance. Government Information Quarterly (Elsevier).
Cúg, J.: Passing the Torch in knowledge-based SMEs: A dual-level moderated mediation analysis of AI integrated business transfer readiness. The Bottom Line (Emerald).
Cúg, J.: Governing the Algorithm and related legal issues: The Impact of Internal GenAI Accountability Structures on Sustainable Organizational Resilience in Tech-SMEs. International Journal of Law and Management (Emerald).
Cúg, J.: Evaluating the Impact of Dynamic Capabilities on Platform Multinational Corporations (PMNCs) from Ambidexterity and AI-Innovation Perspectives: The Moderating Role of Leadership. Strategic Change – Briefings in Entrepreneurial Finance (Wiley).
Cúg, J.: Wired for Well-being: Collaborative Governance, AI-Capability, and Inter-Organizational Well-Being as Drivers of Network Resilience and Sustainable B2B Performance in Knowledge-Based Ecosystems. Journal of Business & Industrial Marketing (Emerald).
Ďurana, P.: Enhancing organizational readiness for generative AI integration: an empirical investigation. International Journal of Organizational Analysis (Emerald).
Ďurana, P.: The Impact of Generative AI Servitization on Reward Mix Evaluation: The Equivocal Role of Job Demand and Job Resource. Strategic Change – Briefings in Entrepreneurial Finance (Wiley).
Kováčová, M.: Generative AI–Enabled Decision Support Systems and Entrepreneurial Sensemaking in Knowledge-Based SMEs: A Moderated-Mediation Model of Cognitive Flexibility and Sustainable Venture Resilience. Technology in Society (Elsevier).
Figura, M.: Generative AI-Driven Marketing Analytics and Sustainable Performance in SMEs: A Moderated Mediation Analysis of Market Agility and XAI Transparency. Global Business Review (Sage).