The Impact of Artificial Intelligence on Human Resource Management: A Systematic Review of Applications, Benefits, and Ethical Challenges

Artificial Intelligence is measurably reshaping how organisations recruit, onboard, train, evaluate, and retain employees, offering genuine efficiency and analytical gains across the HR value chain. At the same time, the reviewed literature converges on a consistent caution: these gains are not automatic, and are contingent on deliberate governance, algorithmic transparency, and sustained human oversight. Organisations that treat AI adoption in HR purely as a technology-procurement decision, without building the corresponding governance, auditing, and reskilling capacity within HR itself, risk reproducing the very biases and trust deficits that AI is often introduced to solve. For HR professionals, the strategic task ahead is therefore not simply to adopt AI, but to shape how it is adopted  retaining the profession's core commitment to fairness and human judgement even as its administrative core becomes increasingly automated. Future research, particularly empirical and cross-cultural studies situated in emerging economies such as India, will be essential to test whether the benefits documented in the existing literature, drawn disproportionately from large Western and East Asian organisations, hold under different regulatory, cultural, and organisational conditions

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