Criteria for AI Adoption in HR: Efficiency vs. Ethics

Artificial intelligence combined with human resources has great possibilities to improve operational effectiveness and change HR processes. With an eye on ethics and efficiency, this research investigates the two sides of artificial intelligence adoption in HR. It looks at how artificial intelligence may save time and costs, simplify HR procedures, and enhance decision-making via data analysis. Simultaneously, the study tackles important ethical issues like data privacy, the danger of prejudice, and the requirement of openness in AI-driven judgments. The article seeks to help HR professionals use AI technology ethically by examining present trends and offering a framework for balancing these features. The results highlight the need to match artificial intelligence implementations with corporate principles and encourage an ethical culture to guarantee that the adoption of AI improves operational performance and justice.

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Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.04.261
Citations
3
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
7.10
Controls
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article

Criteria for AI Adoption in HR: Efficiency vs. Ethics

Mitra Madanchian, Hamed Taherdoost
3 citations
Procedia Computer Science
Ethics and Social Impacts of AI
7.10
article

Criteria for AI Adoption in HR: Efficiency vs. Ethics

Mitra Madanchian, Hamed Taherdoost
article en
3 citations

Abstract

Artificial intelligence combined with human resources has great possibilities to improve operational effectiveness and change HR processes. With an eye on ethics and efficiency, this research investigates the two sides of artificial intelligence adoption in HR. It looks at how artificial intelligence may save time and costs, simplify HR procedures, and enhance decision-making via data analysis. Simultaneously, the study tackles important ethical issues like data privacy, the danger of prejudice, and the requirement of openness in AI-driven judgments. The article seeks to help HR professionals use AI technology ethically by examining present trends and offering a framework for balancing these features. The results highlight the need to match artificial intelligence implementations with corporate principles and encourage an ethical culture to guarantee that the adoption of AI improves operational performance and justice.

Procedia Computer ScienceVol. 258
University Canada West (CA), Global University Systems (GB)
Openalex Percentile: Top 3%
Ethics and Social Impacts of AI
7.10
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