Applications of AI in Talent Acquisition and Recruitment

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dc.contributor.author Perera, K A V U
dc.date.accessioned 2024-07-15T04:04:00Z
dc.date.available 2024-07-15T04:04:00Z
dc.date.issued 2024-05-31
dc.identifier.issn 2513-2733
dc.identifier.uri http://digitalrepository.cipmlk.org/handle/1/170
dc.description.abstract This literature review explores the profound impact of Artificial Intelligence (AI) on talent acquisition and recruitment practices, delving into critical applications and implications. From candidate sourcing to onboarding, AI technologies such as machine learning and natural language processing significantly enhance the speed and precision of the recruitment process. The review underscores the potential of these technologies in mitigating bias and fostering diversity while addressing ethical considerations in algorithmic decision-making. The review highlights chatbots and virtual assistants' role in creating personalised and engaging candidate experiences. Real-world applications and empirical studies provide insights into practical implications and challenges organisations face when implementing AI in recruitment. The synthesis emphasises the transformative power of AI, positioning talent acquisition as a strategic enabler for organisational success. Recommendations for future research underscore the evolving landscape of AI in recruitment and its broader implications. This concise overview is a valuable resource for academics, practitioners, and policymakers navigating the dynamic intersection of AI and talent acquisition, offering a comprehensive understanding of the evolving workforce landscape. en_US
dc.language.iso en en_US
dc.publisher Chartered Institute of Personnel Management en_US
dc.relation.ispartofseries 8th;00065_P24
dc.subject AI, Automation, HRM, Recruitment, Talent Acquisition en_US
dc.title Applications of AI in Talent Acquisition and Recruitment en_US
dc.type Article en_US


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