About: Will COVID-19 be the tipping point for the Intelligent Automation of work? A review of the debate and implications for research

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Will COVID-19 be the tipping point for the Intelligent Automation of work? A review of the debate and implications for research
Creator	Coombs, Crispin
source	Elsevier; Medline; PMC
abstract	As part of the urgent need to respond to the COVID-19 pandemic, governments, healthcare providers, and businesses have looked to applications of Artificial Intelligence (AI) to compensate for the unavailability of human workers. This interest has renewed the debate regarding the use of AI for the automation of work, which has been described as Intelligent Automation (IA). A new dimension to this debate is whether COVID-19 will be the catalyst for higher IA adoption levels. This article reviews arguments in favour of COVID-19 increasing the level of IA adoption and possible counter-arguments. Key arguments in favour of increased IA adoption include consumer preferences changing to favour IA, increasing familiarity of IA technologies, and increased business confidence in IA. Counter-arguments include big data availability and reliability limitations, many tasks still favouring human skills over IA, the narrow capabilities of IA technologies, and a high availability of human workers. The article also discusses the implications of this debate for information management research and practice.
has issue date	2020-07-16(xsd:dateTime)
bibo:doi	10.1016/j.ijinfomgt.2020.102182
bibo:pmid	32836639
has license	no-cc
sha1sum (hex)	4ed232310768ebc57e73bf7482dd8e22aa6e14b5
schema:url	https://doi.org/10.1016/j.ijinfomgt.2020.102182
resource representing a document's title	Will COVID-19 be the tipping point for the Intelligent Automation of work? A review of the debate and implications for research
has PubMed Central identifier	PMC7365646
has PubMed identifier	32836639
schema:publication	Int J Inf Manage
resource representing a document's body	covid:4ed232310768ebc57e73bf7482dd8e22aa6e14b5#body_text
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