Journal of African Development

The rapid advancement of Artificial Intelligence (AI) has significantly transformed corporate Human Resource Management (HRM), particularly within hiring workflows. This study investigates the impact of AI integration on the efficiency and objectivity of recruitment and selection processes. Utilizing a quantitative approach, data were collected via structured questionnaires from [Number, e.g., 150] HR professionals and recruiters across [Industry/Region]

The findings indicate that AI-driven tools—such as resume parsers, predictive analytics, and automated screening algorithms—significantly reduce time-to-hire and minimize initial manual screening workloads. However, the data also reveal notable concerns regarding algorithmic opacity and a perceived loss of the "human touch" during candidate evaluation.

Statistical analysis demonstrates that while HR professionals strongly favor AI for early-stage advisory tasks, resistance persists when AI transitions from an administrative aid to an automated decision-maker. Ultimately, this study underscores the necessity of a socio-technical framework that balances machine efficiency with human oversight to ensure equitable hiring outcomes