A Study on Applicants Perception Towards Use of Artificial Intelligence and Machine Learning Applications in Recruitment

Abstract

This study examines applicants’ perceptions of the use of Artificial Intelligence (AI) and Machine Learning (ML) applications in recruitment within the HR consultancy sector. With increasing adoption of AI-driven tools such as automated resume screening, chatbots, predictive analytics, and video interview analysis, understanding candidate acceptance has become critical. The research follows a descriptive design and is based on primary data collected through a structured questionnaire administered to 100 job applicants using AI-enabled recruitment platforms. The study analyses key perception factors including perceived usefulness, perceived ease of use, attitude towards use, and behavioural intention to use AI-based recruitment systems. Statistical tools such as exploratory factor analysis and hypothesis testing were applied to assess relationships between demographic variables and applicants’ perceptions. The findings indicate an overall positive perception of AI and ML in recruitment, particularly in terms of efficiency and fairness, though concerns related to transparency, bias, and reduced human interaction persist.

Keywords: Artificial Intelligence, Machine Learning, Recruitment, AI/ML, Applicant Perception

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