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Assessing the Risk of Artificial Intelligence Impact on Decision-Making Automation in Digital Businesses

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  • Mioara Chirita

    (Dunarea de Jos University of Galati, Romania)

  • George Chirita

    (Dunarea de Jos University of Galati, Romania)

Abstract

Artificial intelligence technology' quick development has drastically changed how digital firms make decisions. While AI-enabled automation has many benefits, such as improved scalability, accuracy, and efficiency, it also brings new hazards that businesses need to be aware of. The possible hazards of AI-driven decision-making automation are evaluated critically in this essay, with a focus on the consequences for operational dependability, business strategy, ethical issues, and regulatory compliance. The study finds important risk concerns such algorithmic bias, accountability problems, cybersecurity dangers, and decreased decision-process openness by examining current practices and literature. The results indicate strong governance structures, open algorithmic audits, and flexible regulatory laws as ways for companies to reduce these risks. In an increasingly automated corporate world, the insights offered in this article assist responsible and well-informed decision-making by promoting a balanced approach to incorporating AI into digital business models.

Suggested Citation

  • Mioara Chirita & George Chirita, 2025. "Assessing the Risk of Artificial Intelligence Impact on Decision-Making Automation in Digital Businesses," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 1, pages 211-219.
    • Handle: RePEc:ddj:fseeai:y:2025:i:1:p:211-219
    DOI: https://doi.org/10.35219/eai15840409503
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