Labour and technology at the time of COVID-19: can artificial intelligence mitigate the need for proximity?

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Author: Carbonero, Francesco; Scicchitano, Sergio


Social distancing has become worldwide the key public policy to be implemented during the [Coronavirus Disease 2019] COVID-19 epidemic and reducing the degree of proximity among workers turned out to be an important dimension. An emerging literature looks at the role of automation in supporting the work of humans but the potential of Artificial Intelligence (AI) to influence the need for physical proximity on the workplace has been left largely unexplored. By using a unique and innovative dataset that combines data on advancements of AI at the occupational level with information on the...  [+] Show more

Subjects: Technology; Employment; Labour market; Industry

Keywords: Working conditions; Economic recession; Workplace change; Work organisation; Digital skills; Technological change; Data analysis

Geographic subjects: Italy; Europe

Published: Essen, Germany: Global Labor Organization (GLO), 2021

Physical description: 25 p.

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Also called: Labour and technology at the time of Coronavirus Disease 2019: can artificial intelligence mitigate the need for proximity?

Series: GLO discussion paper series; no. 765

Resource type: Working paper

Document number: TD/TNC 146.224

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