IDEAS home Printed from https://ideas.repec.org/a/vrs/ijcoma/v61y2025i1p19-29n1002.html

Artificial Intelligence at HR Departments: The Dangers and Opportunities

Author

Listed:
  • Jaworek Magdalena

    (Jagiellonian University)

  • Stuss Magdalena M.

    (Jagiellonian University)

Abstract

The fourth industrial revolution has changed the world economy. One of them is using artificial intelligence in almost every organization area, including HR departments. This paper aims to bridge this gap by identifying and presenting the opportunities and the main psychological risks or dangers employees will face when exposed to systems based on artificial intelligence. Content analysis of references obtained in a systematic literature review was used as a research tool. AI contributes to increasing the safety and comfort of work, but artificial intelligence is associated with many dangers. In the future, human resources management departments will have a huge role in implementing and using technologies based on artificial intelligence, and HR managers will be responsible for potential dangers.

Suggested Citation

  • Jaworek Magdalena & Stuss Magdalena M., 2025. "Artificial Intelligence at HR Departments: The Dangers and Opportunities," International Journal of Contemporary Management, Sciendo, vol. 61(1), pages 19-29.
    • Handle: RePEc:vrs:ijcoma:v:61:y:2025:i:1:p:19-29:n:1002
    DOI: 10.2478/ijcm-2025-0002
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/ijcm-2025-0002
    Download Restriction: no
    File URL: https://libkey.io/10.2478/ijcm-2025-0002?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
    ---><---

    References listed on IDEAS

    as
    1. Anja Lambrecht & Catherine Tucker, 2019. "Algorithmic Bias? An Empirical Study of Apparent Gender-Based Discrimination in the Display of STEM Career Ads," Management Science, INFORMS, vol. 65(7), pages 2966-2981, July.
    2. Michael Haenlein & Ming-Hui Huang & Andreas Kaplan, 2022. "Guest Editorial: Business Ethics in the Era of Artificial Intelligence," Journal of Business Ethics, Springer, vol. 178(4), pages 867-869, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Maria Figueroa-Armijos & Brent B. Clark & Serge P. da Motta Veiga, 2023. "Ethical Perceptions of AI in Hiring and Organizational Trust: The Role of Performance Expectancy and Social Influence," Journal of Business Ethics, Springer, vol. 186(1), pages 179-197, August.
    2. Serge P. da Motta Veiga & Maria Figueroa-Armijos & Brent B. Clark, 2023. "Seeming Ethical Makes You Attractive: Unraveling How Ethical Perceptions of AI in Hiring Impacts Organizational Innovativeness and Attractiveness," Journal of Business Ethics, Springer, vol. 186(1), pages 199-216, August.
    3. Klockmann, Victor & von Schenk, Alicia & Villeval, Marie Claire, 2022. "Artificial intelligence, ethics, and intergenerational responsibility," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 284-317.
    4. Sievert, Martin & Vogel, Dominik & Döring, Matthias, 2024. "Gendered Language in Job Advertisements Relates to Gender Sorting in Public Labor Markets: A Multi-Source Analysis," SocArXiv u6z5e, Center for Open Science.
    5. De Bruyn, Arnaud & Viswanathan, Vijay & Beh, Yean Shan & Brock, Jürgen Kai-Uwe & von Wangenheim, Florian, 2020. "Artificial Intelligence and Marketing: Pitfalls and Opportunities," Journal of Interactive Marketing, Elsevier, vol. 51(C), pages 91-105.
    6. Alina Köchling & Marius Claus Wehner, 2020. "Discriminated by an algorithm: a systematic review of discrimination and fairness by algorithmic decision-making in the context of HR recruitment and HR development," Business Research, Springer;German Academic Association for Business Research, vol. 13(3), pages 795-848, November.
    7. Fu, Xiaolan & Ghauri, Pervez & Lu, Jianan, 2025. "Digital technology and inclusive development during global crisis: Evidence from a randomised experiment in Bangladesh," Research Policy, Elsevier, vol. 54(3).
    8. Nir Chemaya & Daniel Martin, 2024. "Perceptions and detection of AI use in manuscript preparation for academic journals," PLOS ONE, Public Library of Science, vol. 19(7), pages 1-16, July.
    9. Wencheng Lu, 2024. "Inevitable challenges of autonomy: ethical concerns in personalized algorithmic decision-making," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-9, December.
    10. Walkowiak, Emmanuelle, 2021. "Neurodiversity of the workforce and digital transformation: The case of inclusion of autistic workers at the workplace," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    11. Chaudhary, Sanjay & Khalil, Ashraf & Attri, Rekha & Ractham, Peter, 2025. "Deploying explainable AI in entrepreneurial organizations: Role of the human-AI interface," Technological Forecasting and Social Change, Elsevier, vol. 220(C).
    12. Neil K. R. Sehgal & Dan Svirsky, 2024. "Race Discrimination in Internet Advertising: Evidence From a Field Experiment," Papers 2412.14307, arXiv.org.
    13. Beatrice Orlando & Veronica Scuotto & Valentina Cillo & Manlio Del Giudice, 2026. "University-business R&D collaborations and innovation in light of Artificial Intelligence: a new AI-based open innovation paradigm," The Journal of Technology Transfer, Springer, vol. 51(1), pages 452-480, February.
    14. Ji Wu & Zhiqiang (Eric) Zheng & J. Leon Zhao, 2021. "FairPlay: Detecting and Deterring Online Customer Misbehavior," Information Systems Research, INFORMS, vol. 32(4), pages 1323-1346, December.
    15. Chenfeng Yan & Quan Chen & Xinyue Zhou & Xin Dai & Zhilin Yang, 2024. "When the Automated fire Backfires: The Adoption of Algorithm-based HR Decision-making Could Induce Consumer’s Unfavorable Ethicality Inferences of the Company," Journal of Business Ethics, Springer, vol. 190(4), pages 841-859, April.
    16. Donati,Dante & Rao,Nandan & Orozco Olvera, Victor Hugo & Munoz Boudet, Ana Maria, 2024. "Can Facebook Ads Prevent Malaria ? Two Field Experiments in India," Policy Research Working Paper Series 10967, The World Bank.
    17. Klockmann, Victor & von Schenk, Alicia & Villeval, Marie Claire, 2025. "Artificial intelligence, distributional fairness, and pivotality," European Economic Review, Elsevier, vol. 178(C).
    18. Anderson, Brian S., 2022. "What executives get wrong about statistics: Moving from statistical significance to effect sizes and practical impact," Business Horizons, Elsevier, vol. 65(3), pages 379-388.
    19. Nico Neumann & Catherine E. Tucker & Levi Kaplan & Alan Mislove & Piotr Sapiezynski, 2024. "Data Deserts and Black Boxes: The Impact of Socio-Economic Status on Consumer Profiling," Management Science, INFORMS, vol. 70(11), pages 8003-8029, November.
    20. Singh, Ashutosh & Sajeesh, S. & Bhardwaj, Pradeep, 2024. "Whitelisting versus advertising-recovery: Strategies to overcome advertising blocking by consumers," European Journal of Operational Research, Elsevier, vol. 318(1), pages 217-229.

    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:ijcoma:v:61:y:2025:i:1:p:19-29:n:1002. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.