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The effects of the COVID-19 pandemic for artificial intelligence practitioners: the decrease in tacit knowledge sharing

Giulio Toscani (Department of Management, Universidad del Pacifico, Lima, Peru)

Journal of Knowledge Management

ISSN: 1367-3270

Article publication date: 7 December 2022

60

Abstract

Purpose

This study aims to contribute by showing that although artificial intelligence (AI) practitioners have been faster to adapt, redefine and improve their remote working performance for routine tasks, they have instead decreased their tacit knowledge sharing and ability to perform extra tasks and manage the diverse time allocation.

Design/methodology/approach

Based on a grounded theory study of 57 in-depth interviews, conducted before the outbreak of the pandemic and after, this study investigates how remote work as a pandemic response measure affected AI practitioners.

Findings

Although remote working was a reality for AI practitioners before the COVID-19 pandemic, the overall remote working restrictions appear to have affected tacit knowledge sharing between AI practitioners, with a consequent negative impact on AI project output diversity.

Originality/value

The interactions of AI practitioners are partly embedded in AI tools and partly in human exchange. During the COVID-19 pandemic, these interactions appear to have become more obvious, even if the consequences have been unforeseen.

Keywords

Citation

Toscani, G. (2022), "The effects of the COVID-19 pandemic for artificial intelligence practitioners: the decrease in tacit knowledge sharing", Journal of Knowledge Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JKM-07-2022-0574

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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