Abstract

Candidate screening is a very important process in the entire recruitment process. Screening process helps HR’s with initial filtering of candidates and narrow down the received applications from many applications to few. Hiring teams have data pouring in from a variety of sources. In a fully digital HR ecosystem, it is difficult to process and analyze all these disparate data streams. AI can actually help transforming how HR managers view, select, and operate candidate screening. AI for recruiting is the application of artificial intelligence, such as the learning or problem-solving that a computer can do, to the recruitment function. This new technology is designed to streamline or automate some part of the recruiting workflow, especially repetitive, high-volume tasks. The promise of AI for improving quality of hire lies in its ability to using data to standardize the matching between candidates’ experience, knowledge, and skills and the requirements of the job. The benefits using AI are manifold; recruiters don’t have to sift through crowded job markets or endless candidate lists. This makes HR processes quite easy and faster. The research paper is basically focusing on various applications and implications of Artificial Intelligence (AI) in the field of human resource management. Objectives of the paper are mentioned below: • To study the various components of artificial intelligence and its various applications in the field of human resource management. • To understand various implications and impediments of practicing artificial intelligence at different strategic level of any company.

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