The Role of Artificial Intelligence in Recruitment and Talent Acquisition-An Empirical Study
Роль искусственного интеллекта в подборе персонала и привлечении талантов: эмпирическое исследование
2025-01-14
SCID: 54.1/7y7gqnhj
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AI in recruitmentautomated resume screeningbias reductionrecruitment chatbotstalent acquisition
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Abstract (AI)
The employment process is now much more efficient and effective thanks to artificial intelligence (AI), which has completely transformed talent acquisition and recruitment. AI-powered solutions expedite candidate sourcing by searching enormous databases for prospective employees who meet particular job requirements. Through automated resume parsing, these systems also improve candidate screening, allowing recruiters to concentrate on the most qualified candidates. Furthermore, AI promotes diversity and inclusivity inside organizations by reducing human biases in the screening process, which enables unbiased hiring. The applicant experience is enhanced by chatbots and virtual assistants, which give candidates prompt answers and updates. Another application of AI is predictive analytics, which uses past data to forecast candidate success and retention. Identification of passive candidates—those who match the required profile but may not be actively seeking new opportunities—is another use for AI. Moreover, AI-powered tools can handle monotonous jobs like interview scheduling, freeing up recruiters to focus on making strategic decisions. A sample of 287 is collected from professionals in the HR department. The factors that identify the Role of Artificial Intelligence in Recruitment and Talent Acquisition are Resume Screening and Matching, Chatbots for Initial Interaction, Bias Reduction, and Enhanced Candidate Experience.
Key Findings
1
AI applications identified in the study include initial-interaction chatbots, bias reduction, and enhanced candidate experience.
2
AI improves recruitment efficiency by rapidly sourcing candidates from large databases according to specific job requirements.
3
Automated resume parsing and matching streamline candidate screening, allowing recruiters to focus on the most qualified applicants.
4
Predictive analytics can use historical data to forecast candidate success and retention, while AI can identify suitable passive candidates.
5
The study collected responses from 287 HR professionals to examine AI’s role in recruitment and talent acquisition.
Research Object
AI-assisted recruitment and talent acquisition processes
Research Subject
The effects of AI applications on resume screening and matching, initial candidate interaction through chatbots, bias reduction, and candidate experience
Publication Details
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2025-01-14
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