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Artificial intelligence (AI) has become a valuable tool for facilitating Human Resource Management (HRM) functions. Although, it should be noted that AI has a specific character side away from other technology. Publications covering this knowledge area have grown sharply, however the scholarly covering the impact of AI bias inHRM is scarce. This paper studies this area and goes deeper to explore the future research areas by conducting a systematic literature review for 598 papers from Scopes and Emerald insight databases of which 34 articles were selected after implementing the PRISMA tool and quality evaluation stage. Results generated revealed that biased AI applications are negatively affecting performance management, compensation, staffing and training and development. Apart from that future research domains and questions have been outlined and identified from organizations’ and employees’ perspectives.
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Stored only when both papers are in the corpus — 21 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.