The illusion of routine as an indicator for job automation with artificial intelligence
(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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- author
- Bissessur, Jason ; Arabikhan, Farzad and Bednar, Peter LU
- organization
- publishing date
- 2020-01-01
- 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 : Organizational and Human Challenges - Organizational and Human Challenges
- series title
- Lecture Notes in Information Systems and Organisation (LNISO)
- editor
- Lazazzara, Alessandra ; Ricciardi, Francesca and Za, Stefano
- volume
- 33
- pages
- 10 pages
- publisher
- Springer
- 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
- 2195-4976
- 2195-4968
- 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
- 2024-04-02 16:20:35
@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 = {{Exploring Digital Ecosystems : Organizational and Human Challenges}},
editor = {{Lazazzara, Alessandra and Ricciardi, Francesca and Za, Stefano}},
isbn = {{9783030236649}},
issn = {{2195-4976}},
keywords = {{Artificial intelligence; Employment; Job automation; Organizational perspective; Routine work activities; Stakeholder perspective}},
language = {{eng}},
month = {{01}},
pages = {{407--416}},
publisher = {{Springer}},
series = {{Lecture Notes in Information Systems and Organisation (LNISO)}},
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}},
doi = {{10.1007/978-3-030-23665-6_29}},
volume = {{33}},
year = {{2020}},
}