TY - GEN
T1 - The illusion of routine as an indicator for job automation with artificial intelligence
AU - Bissessur, Jason
AU - Arabikhan, Farzad
AU - Bednar, Peter
PY - 2020/1/1
Y1 - 2020/1/1
N2 - 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.
AB - 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.
KW - Artificial intelligence
KW - Employment
KW - Job automation
KW - Organizational perspective
KW - Routine work activities
KW - Stakeholder perspective
UR - http://www.scopus.com/inward/record.url?scp=85070572373&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-23665-6_29
DO - 10.1007/978-3-030-23665-6_29
M3 - Paper in conference proceeding
AN - SCOPUS:85070572373
SN - 9783030236649
VL - 33
T3 - Lecture Notes in Information Systems and Organisation (LNISO)
SP - 407
EP - 416
BT - Exploring Digital Ecosystems
A2 - Lazazzara, Alessandra
A2 - Ricciardi, Francesca
A2 - Za, Stefano
PB - Springer
T2 - 15th Conference of the Italian chapter of Association for Information Systems, AIS 2018
Y2 - 12 October 2018 through 13 October 2018
ER -
