Transforming Talent Acquisition: Leveraging AI for Enhanced Recruitment Strategies in HRM and Employee Engagement

Abstract

The integration of Artificial Intelligence (AI) in Human Resource Management (HRM) is reshaping the landscape of talent acquisition, driving efficiency, and transforming recruitment strategies. This review paper explores the role of AI in enhancing recruitment processes and employee engagement. AI technologies such as chatbots, predictive analytics, and automated screening tools are streamlining candidate sourcing, reducing bias, and improving decision-making. This study reviews existing literature on AI applications in HRM, focusing on how these technologies contribute to optimizing recruitment by improving the accuracy and speed of talent acquisition while offering personalized candidate experiences. Additionally, the paper investigates how AI tools contribute to employee engagement, with an emphasis on continuous feedback, personalized learning, and career development. The findings reveal that AI-powered solutions not only enhance the candidate experience but also help organizations in identifying the right talent efficiently, thereby improving overall retention rates. However, challenges such as ethical considerations, data privacy issues, and potential biases embedded in AI systems are also discussed. The study highlights the need for organizations to develop robust frameworks to manage these challenges and leverage AI responsibly. Future research directions are suggested to further understand the implications of AI in HR, particularly regarding regulatory and ethical frameworks. Overall, the paper provides valuable insights into the transformative potential of AI in recruitment and employee engagement, emphasizing its strategic importance in modern HRM practices.