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Assessing the Determinants of Trust in AI Algorithms in the Conditions of Sustainable Development of the Organization

Author

Listed:
  • Mariusz Salwin

    (Faculty of Mechanical and Industrial Engineering, Warsaw University of Technology, 02-524 Warsaw, Poland)

  • Maria Kocot

    (Department of Economic Informatics, Faculty of Economics, University of Economics in Katowice, 40-287 Katowice, Poland)

  • Artur Kwasek

    (Faculty of Social and Technical Sciences, Higher School of Professional Education Wroclaw, 53-329 Wroclaw, Poland)

  • Adrianna Trzaskowska-Dmoch

    (Faculty of Mechanical and Industrial Engineering, Warsaw University of Technology, 02-524 Warsaw, Poland)

  • Michał Pałęga

    (Department of Production Management, Faculty of Production Engineering and Materials Technology, Częstochowa University of Technology, 19 Aleja Armii Krajowej, 42-201 Częstochowa, Poland)

  • Adrian Kopytowski

    (Faculty of Mechanical and Industrial Engineering, Warsaw University of Technology, 02-524 Warsaw, Poland)

Abstract

The article addresses the problem of the insufficient empirical recognition of the determinants of trust in artificial intelligence (AI) algorithms in organizations operating under conditions of sustainable development. The aim of the study was to identify the factors shaping organizational trust in AI and to examine how perceived trustworthiness, transparency, and effectiveness of algorithms influence their acceptance in the work environment. The research was conducted using a quantitative survey-based approach among organizational employees, which enabled the analysis of relationships between key variables and the identification of factors that strengthen or limit trust. The results indicate that algorithmic transparency, the reliability of generated outcomes, and the perceived effectiveness of AI applications significantly foster trust, whereas concerns related to errors and the decision-making autonomy of systems constitute important barriers to acceptance. Based on the findings, a conceptual and exploratory model of trust in AI was proposed, which may be used to diagnose the level of technology acceptance and to support the responsible implementation of artificial intelligence-based solutions in organizations. The contribution of the article lies in integrating organizational and technological perspectives and in providing an empirical approach to trust in AI within the context of sustainable development.

Suggested Citation

  • Mariusz Salwin & Maria Kocot & Artur Kwasek & Adrianna Trzaskowska-Dmoch & Michał Pałęga & Adrian Kopytowski, 2026. "Assessing the Determinants of Trust in AI Algorithms in the Conditions of Sustainable Development of the Organization," Sustainability, MDPI, vol. 18(2), pages 1-16, January.
  • Handle: RePEc:gam:jsusta:v:18:y:2026:i:2:p:776-:d:1838778
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