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Artificial Intelligence Framework in Labor Market: Present and Future Trends
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Author(s): Sonia Kherbachi (University of Bejaia, Algeria), Naima Benkhider (University of Bejaia, Algeria)and Nassim Keddari (University of Bejaia, Algeria)
Copyright: 2027
Pages: 21
Source title:
Encyclopedia of Modern Artificial Intelligence
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Founding Editor-in-Chief, Information Resources Management Journal (IRMJ), USA)
DOI: 10.4018/406051
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Abstract
This article explores the impact of artificial intelligence on the labor market, emphasizing the roles AI can potentially automate and those that benefit from human collaboration. Using a framework that aligns specific cognitive abilities with AI tools, the study identifies which tasks within an occupation are most susceptible to AI-driven automation. It highlights the nuanced interaction between human abilities and AI, suggesting that while some tasks may be automated, others require a synergistic blend of human judgment and machine efficiency. The chapter leverages data from the U.S. Bureau of Labor Statistics to assess job functions and estimates the effect of AI on employment dynamics. Findings underscore the importance of training programs focused on both technical and soft skills to prepare employees for a future of AI-enhanced work environments. This framework provides organizations with strategic insights into optimizing human-AI collaboration to improve productivity and job satisfaction.
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