ROLE OF ARTIFICIAL INTELLIGENCE IN RECRUITMENT AND SELECTION PROCESS

ROLE OF ARTIFICIAL INTELLIGENCE IN RECRUITMENT AND SELECTION PROCESS

Rohit Kumar

E-mail: rihansharma1010@gmail.com

Nims School of Business Studies

Dr. Yerragola Prakash

Associate Professor

Nims School of Business Studies

NIMS University Rajasthan, Jaipur

ABSTRACT

The integration of artificial intelligence (AI) into various aspects of human resource management has revolutionized traditional recruitment and selection practices. This research paper aims to provide a comprehensive review of the role of AI in streamlining and enhancing recruitment and selection processes. The abstract begins by highlighting the growing significance of AI in modern talent acquisition strategies, citing its ability to automate repetitive tasks, analyse vast amounts of data, and improve decision-making accuracy. Furthermore, it discusses the various AI-driven technologies utilized in recruitment, such as applicant tracking systems, chatbots, and predictive analytics tools. The abstract also explores the advantages and challenges associated with AI adoption in recruitment and selection. It emphasizes benefits such as increased efficiency, reduced bias, and enhanced candidate experience, while also addressing concerns regarding algorithmic bias, privacy issues, and ethical considerations. Moreover, the abstract outlines key research findings and trends in AI-driven recruitment, including its impact on candidate sourcing, screening, and assessment. It also discusses emerging areas of research and potential future directions in the field.

Overall, this research paper contributes to the existing literature by offering insights into the evolving role of AI in revolutionizing recruitment and selection processes, and by highlighting implications for HR practitioners, policymakers, and researchers.