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Revolutionizing Workforce Education: A Conceptual Framework for AI-Driven Skilling, Upskilling, and Reskilling
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Author(s): Yavana Rani Subramanian (CMS Business School, Jain University, Bengaluru, India), R. Riya (CMS Business School, Jain University, Bengaluru, India)and Rajaprabakaran Rajendran (CMS Business School, Jain University, Bengaluru, India)
Copyright: 2024
Pages: 18
Source title:
Integrating Generative AI in Education to Achieve Sustainable Development Goals
Source Author(s)/Editor(s): Ruchi Doshi (Universidad Azteca, Mexico), Manish Dadhich (Sir Padampat Singhania University, India), Sandeep Poddar (Lincoln University College, Malaysia)and Kamal Kant Hiran (Sir Padampat Singhania University, India & Lincoln University College, Malaysia)
DOI: 10.4018/979-8-3693-2440-0.ch015
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Abstract
This study presents a conceptual analysis of the role of artificial intelligence (AI) in skilling, upskilling, and reskilling the workforce. The chapter argues that artificial intelligence (AI) is fundamentally reshaping the workforce landscape and necessitating new strategies for employee skill development. This paper examines the impact of artificial intelligence (AI) on workforce development by synthesizing insights from the existing literature. The authors identified the trends, challenges, and opportunities of using artificial intelligence in workforce development. Informed decision-making and policy formulation in the realms of labour and employment contribute to this chapter. In conclusion, AI has the potential to transform the future of work and redefine the skill sets required for success in an increasingly digitized and automated world.
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