Empowerment Effects in Human-machine Collaboration - A Systematic Literature Review and Directions on Hybrid Intelligence Behavior Patterns
Journal
Pacific Asia Conference on Information Systems (PACIS)
Type
conference paper
Date Issued
2022-07-09
Author(s)
Research Team
IWI6
Abstract
The potentials of artificial intelligence (AI) are manifold and their discussion has gained momentum in research and practice. In the same realm, AI also raises fears among employees of being replaced by AI technologies and, therefore, shying away from using it. Generally, employees want to be empowered to do their job and seek both more responsibility, as well as make their own decisions. In this paper, we conduct a systematic literature review that investigates the current state of the literature on the potential empowering effects of AI-based human-machine behavior. We thus sorted the literature into three behavioral categories: humans shape machine behavior, machines shape human behavior, human-machine co-behavior and crossed them with psychological empowerment dimensions of significance, competence, self-determination, and influence. Our results show corresponding literature streams and provide future research directions in a field that is likely to disrupt the way we work in the future.
Language
English
Keywords
empowerment
artificial intelligence
effects of AI
hybrid intelligence
employee centricity
HSG Classification
contribution to scientific community
Publisher place
Taipei/Sidney
Pages
17
Event Title
Pacific Asia Conference on Information Systems (PACIS)
Event Location
Taipei-Sidyney
Event Date
05-09 Jul 2022
Subject(s)
Division(s)
Eprints ID
266994
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Name
JML_885.pdf
Size
444.84 KB
Format
Adobe PDF
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