LEVERAGING ARTIFICIAL INTELLIGENCE IN HRM: OPPORTUNITIES AND ETHICAL CHALLENGES

The incorporation of Artificial Intelligence (AI) into Human Resource Management (HRM) has become a revolutionary force, altering conventional HR methodologies and facilitating data-driven decision-making. AI tools for hiring, evaluating performance, training employees, and planning the workforce give businesses more chances than ever to improve efficiency, objectivity, and strategic value creation. AI promises to make organizations more competitive and keep employees interested by automating repetitive tasks and tailoring their experiences. But this new technology also brings up serious moral problems. Over-reliance on AI can lead to problems like algorithmic bias, lack of transparency in decision-making, possible violations of employee privacy, and the loss of the "human touch" in HR processes. Also, the lack of strong rules and ethical standards makes it easier for people to misuse things, which leads to distrust and possible legal problems. This study critically analyses the dual influence of AI in HRM, highlighting significant opportunities and urgent ethical dilemmas. It stresses the importance of finding a balance between technological progress and human oversight, ethical auditing, and accountability systems. The research seeks to offer practical recommendations for organizations and policymakers to facilitate the responsible integration of AI in human resource management by examining existing literature and case studies. This work emphasizes that the effective incorporation of AI into HRM necessitates not only technological proficiency but also ethical accountability, transparency, and inclusivity to realize enduring organizational and societal advantages.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-15
DOI
https://doi.org/10.5281/zenodo.17093353
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

LEVERAGING ARTIFICIAL INTELLIGENCE IN HRM: OPPORTUNITIES AND ETHICAL CHALLENGES

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

LEVERAGING ARTIFICIAL INTELLIGENCE IN HRM: OPPORTUNITIES AND ETHICAL CHALLENGES

article en

Abstract

The incorporation of Artificial Intelligence (AI) into Human Resource Management (HRM) has become a revolutionary force, altering conventional HR methodologies and facilitating data-driven decision-making. AI tools for hiring, evaluating performance, training employees, and planning the workforce give businesses more chances than ever to improve efficiency, objectivity, and strategic value creation. AI promises to make organizations more competitive and keep employees interested by automating repetitive tasks and tailoring their experiences. But this new technology also brings up serious moral problems. Over-reliance on AI can lead to problems like algorithmic bias, lack of transparency in decision-making, possible violations of employee privacy, and the loss of the "human touch" in HR processes. Also, the lack of strong rules and ethical standards makes it easier for people to misuse things, which leads to distrust and possible legal problems. This study critically analyses the dual influence of AI in HRM, highlighting significant opportunities and urgent ethical dilemmas. It stresses the importance of finding a balance between technological progress and human oversight, ethical auditing, and accountability systems. The research seeks to offer practical recommendations for organizations and policymakers to facilitate the responsible integration of AI in human resource management by examining existing literature and case studies. This work emphasizes that the effective incorporation of AI into HRM necessitates not only technological proficiency but also ethical accountability, transparency, and inclusivity to realize enduring organizational and societal advantages.

Zenodo (CERN European Organization for Nuclear Research)
Teerthanker Mahaveer University (IN), Southeast University (BD), Directorate General of Training (IN)
Peace, Justice and strong institutions
Openalex Percentile: Top 42%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

LEVERAGING ARTIFICIAL INTELLIGENCE IN HRM: OPPORTUNITIES AND ETHICAL CHALLENGES · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS