The illusion of routine as an indicator for job automation with artificial intelligence

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

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.

Details

Authors
  • Jason Bissessur
  • Farzad Arabikhan
  • Peter Bednar
Organisations
External organisations
  • University of Portsmouth
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Information Studies

Keywords

  • Artificial intelligence, Employment, Job automation, Organizational perspective, Routine work activities, Stakeholder perspective
Original languageEnglish
Title of host publicationExploring Digital Ecosystems
Subtitle of host publicationOrganizational and Human Challenges
EditorsAlessandra Lazazzara, Francesca Ricciardi, Stefano Za
PublisherSpringer
Pages407-416
Number of pages10
Volume33
ISBN (Print)9783030236649
Publication statusPublished - 2020 Jan 1
Publication categoryResearch
Peer-reviewedYes
Event15th Conference of the Italian chapter of Association for Information Systems, AIS 2018 - Pavia, Italy
Duration: 2018 Oct 122018 Oct 13

Publication series

NameLecture Notes in Information Systems and Organisation (LNISO)
PublisherSpringer Nature Switzerland AG
Volume33
ISSN (Print)2195-4968
ISSN (Electronic)2195-4976

Conference

Conference15th Conference of the Italian chapter of Association for Information Systems, AIS 2018
CountryItaly
CityPavia
Period2018/10/122018/10/13