Transforming Talent Acquisition: How AI is shaping modern HRM

The study investigates the profound influence of artificial intelligence (AI) on the process of recruiting in contemporary human resource management (HRM) methodologies. As organizations strive for efficiency and accuracy in talent acquisition, Advanced artificial intelligence technologies, including machine learning algorithms, predictive analytics, and natural language processing, are revolutionising conventional recruitment approaches. This study provides a comprehensive overview of how AI enhances recruitment efficiency, improves decision-making, and addresses challenges related to fairness and bias. Key theoretical frameworks, including decision theory, are employed to analyze AI’s role and acceptance in recruitment processes. Despite its advantages, the paper also highlights significant challenges, such as algorithmic bias, transparency issues, and data privacy concerns. The ramifications for HRM theory and practice are examined, highlighting the need to adopt a well-rounded strategy that incorporates the technological potential of AI while also addressing ethical concerns. Key areas for future study include enhancing the transparency of AI and investigating its enduring impact on the culture within organizations. This review enhances the comprehension of the function of AI in recruiting and guides the ethical implementation of these technologies in HRM.