The ever-evolving landscape of talent acquisition in the 21st century has seen a paradigm shift with the integration of Artificial Intelligence (AI) in the recruitment and selection process. This paper presents a comprehensive review of the multifaceted role of AI in redefining how organizations identify, attract, and onboard talent. The study starts out by addressing the shortcomings, prejudices, and time limits of conventional recruitment techniques. It then explores the various uses of AI, including candidate sourcing, skill evaluation, interviewing procedures, and resume screening. The study assesses how artificial intelligence (AI)-driven solutions, including chatbots, applicant tracking systems, and predictive analytics, might improve the precision and effectiveness of candidate evaluation. The report also examines how HR professionals’ roles are changing in an eco-system that uses AI, highlighting the significance of human-AI collaboration and skill upskilling. Additionally, it talks about potential issues such algorithmic bias, data privacy laws, and the requirement for continuous algorithm improvement.

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Revolutionizing Recruitment and Selection: Exploring Artificial Intelligence Applications

  • R. Somasundaram,
  • K. Nandhini,
  • P. Dhivya,
  • S. Jagatheesh Kumar

摘要

The ever-evolving landscape of talent acquisition in the 21st century has seen a paradigm shift with the integration of Artificial Intelligence (AI) in the recruitment and selection process. This paper presents a comprehensive review of the multifaceted role of AI in redefining how organizations identify, attract, and onboard talent. The study starts out by addressing the shortcomings, prejudices, and time limits of conventional recruitment techniques. It then explores the various uses of AI, including candidate sourcing, skill evaluation, interviewing procedures, and resume screening. The study assesses how artificial intelligence (AI)-driven solutions, including chatbots, applicant tracking systems, and predictive analytics, might improve the precision and effectiveness of candidate evaluation. The report also examines how HR professionals’ roles are changing in an eco-system that uses AI, highlighting the significance of human-AI collaboration and skill upskilling. Additionally, it talks about potential issues such algorithmic bias, data privacy laws, and the requirement for continuous algorithm improvement.