Artificial Intelligence at HR Departments: The Dangers and Opportunities

Magdalena Jaworek & Magdalena M. Stuss

International Journal of Contemporary Management2025https://doi.org/10.2478/ijcm-2025-0002article
AJG 1
Weight
0.37

What the paper says

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.

1 citation

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.2478/ijcm-2025-0002

Or copy a formatted citation

@article{magdalena2025,
  title        = {{Artificial Intelligence at HR Departments: The Dangers and Opportunities}},
  author       = {Magdalena Jaworek & Magdalena M. Stuss},
  journal      = {International Journal of Contemporary Management},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.2478/ijcm-2025-0002},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Artificial Intelligence at HR Departments: The Dangers and Opportunities

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.