Smart Hiring: Leveraging AI for Effective Employee Selection
Интеллектуальный подбор персонала: использование искусственного интеллекта для эффективного отбора сотрудников
2024-11-29
SCID: 54.1/33wqxc8j
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AI recruitmentdeep learningethical AInatural language processingresume screening
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Abstract (AI)
AI is revolutionizing recruitment by increasing efficiency, reducing bias, and enhancing candidate experiences. It automates job postings, resume screening, talent evaluation, and onboarding. Through data mining, social media, and automatic responses, AI tools improve decision-making, efficiency, and diversity in hiring. Technologies like deep learning and natural language processing expedite resume screening, candidate evaluation, and interview scheduling. However, ethical considerations, such as privacy, transparency, and fairness, are crucial to address. AI also enhances employee development by personalizing training and enabling continuous learning through online courses and virtual classrooms. While AI brings significant advantages to HR and recruitment, balancing technical advancements with ethical principles is essential to mitigate issues like job displacement and data privacy. Organizations must ensure ethical AI usage to maximize benefits and minimize unintended consequences.
Key Findings
1
AI can automate job posting, resume screening, talent evaluation, interview scheduling, and onboarding, improving recruitment efficiency.
2
AI-enabled personalized training, online courses, and virtual classrooms support employee development and continuous learning.
3
Data mining, social media analysis, and automated responses can support hiring decisions while potentially improving candidate experiences and workforce diversity.
4
Deep learning and natural language processing accelerate resume screening and candidate evaluation in recruitment workflows.
5
Effective AI adoption in hiring requires safeguards for privacy, transparency, fairness, and potential job displacement to limit unintended consequences.
Research Object
AI-enabled employee recruitment and selection processes
Research Subject
AI-driven automation, efficiency, bias reduction, candidate experience, diversity, and ethical governance in recruitment and employee development
Publication Details
Publication Date
2024-11-29
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