2024
DOI: 10.1108/jwam-08-2024-0111
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Machine learning and AI technology-induced skill gaps and opportunities for continuous development of middle-skilled employees

Szufang Chuang,
Mehran Shahhosseini,
Maria Javaid
et al.

Abstract: PurposeBased on the sociotechnical systems theory, we examined the human–technology interactions in the context of future works conditioned by machine learning (ML) and artificial intelligence (AI). Skills needed to support career sustainability and the future of the workforce, particularly for the middle-skilled workforce in the contemporary United States America (USA) context, were also studied.Design/methodology/approachWe conducted a scenario analysis to demonstrate the potential roles that human resource … Show more

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