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Artificial Intelligence Management And Ethics In The Implementation Of Mechatronic Systems In The Automotive Industry: Challenges And Applied Solutions

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  • ȚÎȚU Aurel Mihail

    (Lucian Blaga University of Sibiu, Romania)

  • BÂLC Emanuel

    (Lucian Blaga University of Sibiu, Romania)

  • BÂLC Daniel

    (National University of Science and Technology POLITEHNICA Bucharest, Romania)

  • OPREAN Constantin

    (Lucian Blaga University of Sibiu, Romania)

Abstract

The present paper aims to explore how artificial intelligence (AI) is integrated into mechatronic systems in the automotive sector and to address the management and ethical challenges associated with this implementation. The paper highlights the importance of management in coordinating the complex processes required for AI adoption, emphasizing the role of multidisciplinary teams in guaranteeing success. At the same time, the ethical challenges related to the explainability of AI algorithms, the transparency of automated decisions and the protection of personal data are discussed. The paper emphasizes the need for flexible management strategies that facilitate the responsible integration of AI, balancing technological advantages with safety and social impact. Thus, the main contribution of the paper is the formulation of applied management and ethics solutions that support the sustainable and responsible development of emerging technologies in the automotive industry.

Suggested Citation

  • ȚÎȚU Aurel Mihail & BÂLC Emanuel & BÂLC Daniel & OPREAN Constantin, 2024. "Artificial Intelligence Management And Ethics In The Implementation Of Mechatronic Systems In The Automotive Industry: Challenges And Applied Solutions," Management of Sustainable Development, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 16(2), pages 113-119, December.
    • Handle: RePEc:blg:msudev:v:16:y:2024:i:2:p:113-119:n:10
    DOI: https://doi.org/10.54989/msd-2024-0020
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    References listed on IDEAS

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    1. Dwivedi, Yogesh K. & Hughes, Laurie & Ismagilova, Elvira & Aarts, Gert & Coombs, Crispin & Crick, Tom & Duan, Yanqing & Dwivedi, Rohita & Edwards, John & Eirug, Aled & Galanos, Vassilis & Ilavarasan, , 2021. "Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy," International Journal of Information Management, Elsevier, vol. 57(C).
    2. Mortenson, Michael J. & Vidgen, Richard, 2016. "A computational literature review of the technology acceptance model," International Journal of Information Management, Elsevier, vol. 36(6), pages 1248-1259.
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