The Illusion of Routine as an Indicator for Job Automation with Artificial Intelligence

Jason Bissessur (), Farzad Arabikhan () and Peter Bednar ()
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Jason Bissessur: Computing, University of Portsmouth
Farzad Arabikhan: Computing, University of Portsmouth
Peter Bednar: Computing, University of Portsmouth

A chapter in Exploring Digital Ecosystems, 2020, pp 407-416 from Springer

Abstract: Abstract The resurgence of artificial intelligence (AI) has empowered organizations to concentrate their research efforts on enhancing decision-making and automation capabilities. This is being pursued with the goal of increasing productivity, whilst reducing costs. With this, it is perceived that the jobs within these organizations that are considered subject to ‘routine’, or repetitive and mundane tasks, are more likely to be automatable. However, it may be recognised that these jobs are more than a simple set of routine tasks. This study aims to address the concept of routineness from the perspective of the job occupants themselves. The findings reveal that jobs which are considered routine from an organizational perspective, realistically require a degree of human intervention. This suggests that the fear of mass unemployment at the hands of AI may be an unrealistic notion. Rather, the introduction of AI into jobs paves the way for collaborative methods of working which could augment current jobs and create new jobs. Furthermore, this paper accentuates that the acceptance of AI by stakeholders requires an alignment of the technology with their own unique contextual needs.

Keywords: Artificial intelligence; Employment; Routine work activities; Job automation; Organizational perspective; Stakeholder perspective (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-23665-6_29

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DOI: 10.1007/978-3-030-23665-6_29

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