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

Bissessur, Jason; Arabikhan, Farzad and Bednar, Peter LU (2020) 15th Conference of the Italian chapter of Association for Information Systems, AIS 2018 In Lecture Notes in Information Systems and Organisation (LNISO) 33. p.407-416
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... (More)

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.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Artificial intelligence, Employment, Job automation, Organizational perspective, Routine work activities, Stakeholder perspective
host publication
Exploring Digital Ecosystems
series title
Lecture Notes in Information Systems and Organisation (LNISO)
editor
Lazazzara, Alessandra; Ricciardi, Francesca; Za, Stefano; ; and
volume
33
pages
10 pages
publisher
Springer Heidelberg
conference name
15th Conference of the Italian chapter of Association for Information Systems, AIS 2018
conference location
Pavia, Italy
conference dates
2018-10-12 - 2018-10-13
external identifiers
  • scopus:85070572373
ISSN
2195-4968
2195-4976
ISBN
9783030236649
DOI
10.1007/978-3-030-23665-6_29
language
English
LU publication?
yes
id
9dc75af5-0cae-4e29-add1-55147384cf3c
date added to LUP
2019-08-30 12:24:28
date last changed
2019-08-30 12:24:28
@inproceedings{9dc75af5-0cae-4e29-add1-55147384cf3c,
  abstract     = {<p>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.</p>},
  author       = {Bissessur, Jason and Arabikhan, Farzad and Bednar, Peter},
  booktitle    = {Lecture Notes in Information Systems and Organisation (LNISO)},
  editor       = {Lazazzara, Alessandra and Ricciardi, Francesca and Za, Stefano},
  isbn         = {9783030236649},
  issn         = {2195-4968},
  keyword      = {Artificial intelligence,Employment,Job automation,Organizational perspective,Routine work activities,Stakeholder perspective},
  language     = {eng},
  location     = {Pavia, Italy},
  month        = {01},
  pages        = {407--416},
  publisher    = {Springer Heidelberg},
  title        = {The illusion of routine as an indicator for job automation with artificial intelligence},
  url          = {http://dx.doi.org/10.1007/978-3-030-23665-6_29},
  volume       = {33},
  year         = {2020},
}