AI Assistance in Human Resource Application Processing: Revolutionizing Recruitment and Hiring – Applicants Perspective

Abstract

The study has captured that the AI technology is very much helpful in introducing the organization’s history to the new entrants,  to speed up the selection process, to conduct background checks,  to assess the success of the onboarding process, to provide personalized training and development, to evaluate candidates,  to filter and sift/examine resumes and applications, to reduce human bias and increase diversity hiring, for Onboarding/process and it is concluded that AI technology is very much helpful in minimizing the human efforts through enhanced efficiency. Artificial intelligence is set to greatly improve the processing of HR applications, providing advantages like greater efficiency, better candidate alignment, and minimized bias. However, thorough implementation, ongoing monitoring, and ethical considerations are crucial for ensuring that AI's impact on recruitment is advantageous, fair, and transparent. Applicants are aware of AI technology implementation in recruitment process.  As AI progresses, it is crucial for HR professionals to leverage its possibilities while staying aware of its challenges and constraints. The integration of Artificial Intelligence (AI) into Human Resources (HR) operations is significantly altering recruitment procedures, particularly in how applications are processed. Artificial intelligence technologies such as machine learning, natural language processing (NLP), and predictive analytics have the potential to completely change how companies manage candidate applications. The Cronbach alpha (α) worked to be 0.699. Work experienced respondents have concluded that AI is used in evaluating candidates and also AI is used to assess the success of the onboarding process.