IDEAS home Printed from https://ideas.repec.org/a/vrs/poicbe/v19y2025i1p3511-3522n1029.html
   My bibliography  Save this article

Work Safety in Construction and the Impact of Artificial Intelligence (AI)

Author

Listed:
  • FăgărăŞian Valentin-Ilie

    (Lucian Blaga University of Sibiu, Sibiu, Romania)

Abstract

Workplace safety in construction is a significant issue worldwide. It is well known that thousands of accidents happen every year. Worker safety is a top priority and can be addressed with innovative technology. AI can transform safety practices by reducing accidents and streamlining operations. This paper examines how AI technologies like drones, IoT sensors, smart cameras, and predictive algorithms can be used in risk monitoring and prevention. These tools enable immediate hazard detection and alertness so you can take preventative measures and have better working conditions on-site. Based on case studies in Italy, Spain, and France, we show that AI solutions have reduced workplace accidents by 35%, so they work. However, AI in construction has challenges, such as high implementation costs, resistance to change, and ethical issues around workers’ privacy. Despite these obstacles, the benefits – from cost savings to increased productivity and worker protection – far outweigh the drawbacks. The paper argues for public policies encouraging AI in construction safety and proposes further research avenues to develop the best solutions. This could be the way to a safer workplace through AI, as the study shows that AI can offer a more proactive and data-driven approach, a safer and more sustainable future for the industry.

Suggested Citation

  • FăgărăŞian Valentin-Ilie, 2025. "Work Safety in Construction and the Impact of Artificial Intelligence (AI)," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 19(1), pages 3511-3522.
    • Handle: RePEc:vrs:poicbe:v:19:y:2025:i:1:p:3511-3522:n:1029
    DOI: 10.2478/picbe-2025-0268
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/picbe-2025-0268
    Download Restriction: no
    File URL: https://libkey.io/10.2478/picbe-2025-0268?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:poicbe:v:19:y:2025:i:1:p:3511-3522:n:1029. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.