Dhand, Shivani, Pandey, Aayushi, Mishra, Sejal, Sharma, Kiran, Rawat, Ankush, Kumari, Veena, Yadav, Mohit and Chand, Badr-un-nisa (2025) Role of Artificial Intelligence in Enhancing Employee Well-Being at the Workplace. In: Global Work Arrangements and Outsourcing in the Age of AI. IGI Global. ISBN 9798337312729
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Abstract
The whole world is rushing towards Artificial Intelligence; it has revamped every dimension of our lives. Now, various companies are utilizing AI to improve employee well-being. This chapter is an attempt to understand the role of AI in enhancing employee well-being at the workplace. It examines AI-driven solutions for monitoring employee engagement, stress levels, and overall job satisfaction. AI-powered tools, such as mental health chatbots, predictive burnout models, and personalized wellness programs, contribute significantly to workplace efficiency and employee retention. However, the integration of AI into well-being initiatives also raises ethical concerns regarding data privacy, algorithmic bias, and employee trust. This study emphasizes the need for a human-centered approach that balances AI automation with personal interaction. By ensuring transparency, regulatory compliance, and ethical implementation, organizations can successfully leverage AI to foster a healthier, more engaged, and productive workforce.
Item Type: | Book Section |
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Subjects: | Social Sciences and humanities > Business, Management and Accounting > General Management Physical, Life and Health Sciences > Health Policy Physical, Life and Health Sciences > Medicine Physical, Life and Health Sciences > Public Health, Environmental and Occupational Health Physical, Life and Health Sciences > Computer Science Physical, Life and Health Sciences > Engineering and Technology |
JGU School/Centre: | Jindal Global Business School |
Depositing User: | Mr. Gautam Kumar |
Date Deposited: | 14 Aug 2025 12:20 |
Last Modified: | 14 Aug 2025 12:20 |
Official URL: | https://doi.org/10.4018/979-8-3373-1270-5 |
URI: | https://pure.jgu.edu.in/id/eprint/10001 |
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