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AI and Employability: Challenges and Solutions from this Technology Transfer

Regina Negri Pagani (Post-Graduation Program In Production Engineering, Federal University of Technology, Brazil)

Clayton Pereira de Sá (Post-Graduation Program In Production Engineering, Federal University of Technology, Brazil)

Alana Corsi (Post-Graduation Program In Production Engineering, Federal University of Technology, Brazil)

Fabiane Florêncio de Souza (Post-Graduation Program In Production Engineering, Federal University of Technology, Brazil)

Smart Cities and Digital Transformation: Empowering Communities, Limitless Innovation, Sustainable Development and the Next Generation

ISBN: 978-1-80455-995-6, eISBN: 978-1-80455-994-9

Publication date: 14 June 2023

Abstract

Smart scenarios related to industries or cities, characterized by intensive technology transfer and use of innovative and disruptive technologies, have been in the spotlight either on academic or organizational discussions, especially those with a technocentric focus. Among these technologies, artificial intelligence (AI) emerges as the most challenging one due to its complexity. Therefore, this chapter aims to address AI, in particular the future of the labor market, exploring the challenges regarding the skills required in the context of AI technology, addressing its uses, challenges, and benefits. In order to achieve this goal, a systematic review was conducted on the extant literature using the methodology Methodi Ordinatio. The results show that the current literature is gradually changing from a more critical and negative view of AI to a more optimistic one, with more positive approaches and expectations regarding its benefits. As practical implications, the findings can be used as a guide for governments to develop strategies aiming to deal with upcoming challenges, especially regarding future jobs and employability.

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Acknowledgements

Acknowledgments

This study was carried out with support from the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) – Funding Code 001.

Citation

Pagani, R.N., de Sá, C.P., Corsi, A. and de Souza, F.F. (2023), "AI and Employability: Challenges and Solutions from this Technology Transfer", Lytras, M.D., Housawi, A.A. and Alsaywid, B.S. (Ed.) Smart Cities and Digital Transformation: Empowering Communities, Limitless Innovation, Sustainable Development and the Next Generation, Emerald Publishing Limited, Leeds, pp. 253-284. https://doi.org/10.1108/978-1-80455-994-920231012

Publisher

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Emerald Publishing Limited