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

Jason Bissessur, Farzad Arabikhan, Peter Bednar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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.
Original languageEnglish
Title of host publicationExploring Digital Ecosystems: Organizational and Human Challenges
EditorsAlessandra Lazazzara, Francesca Ricciardi, Stefano Za
PublisherSpringer
Pages407-416
ISBN (Electronic)978-3-030-23665-6
ISBN (Print)978-3-030-23664-9
DOIs
Publication statusPublished - Aug 2019
EventXV Conference of the Italian Chapter of AIS: Living in the digital ecosystem: technologies, organizations and human agency - Pavia, Pavia, Italy
Duration: 12 Oct 201813 Oct 2018
Conference number: 15
http://www.itais.org/conference/2018/

Publication series

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

Conference

ConferenceXV Conference of the Italian Chapter of AIS
Abbreviated titleItAIS 2018
Country/TerritoryItaly
CityPavia
Period12/10/1813/10/18
Internet address

Keywords

  • Artificial Intelligence
  • Employment
  • Routine Work Activities
  • Job Automation
  • Organizational Perspective
  • Stakeholder Perspective

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