Conscious artificial intelligence in service

Purpose The purpose of this study is to identify, analyze and explain the implications that could arise for service settings if artificial intelligence (AI) systems develop, or are perceived to develop, consciousness – the ability to acknowledge their own existence and the capacity for positive or negative experiences. Design/methodology/approach This study proposes and explores four hypothetical scenarios in which conscious AI in service could manifest. We contextualize our resulting typology in the health service context and integrate extant literature on technology-enabled service, AI consciousness and AI ethics into the narrative. Findings This study provides a unique theoretical contribution to service research in the form of a Type IV theory. It enables future service researchers to apprehend, explain and predict how functionally conscious AI in service might unfold. Practical implications The ethical use of conscious AI in service could emerge as a distinct competitive advantage in the future. Achieving this outcome involves speculative yet actionable recommendations that include training, guiding and controlling how humans engage with such systems; developing appropriate wellbeing protocols for functionally conscious AI systems and establishing AI rights and governance frameworks. Originality/value An increasingly prolific public discourse acknowledges that conscious AI systems may emerge. Against this backdrop, this study aims to systematically explore a question that is perhaps the most critical and timely, but also inherently speculative, in relation to AI in service research by introducing much-needed theory and terminology.

Authors

Institutions

Publication Details

Journal
Journal of service management
Published
2025-10-17
DOI
https://doi.org/10.1108/josm-12-2024-0536
Citations
3
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
7.44
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article

Conscious artificial intelligence in service

Daniel Beverungen, Paul P. Maglio, Lars‐Erik Casper Ferm, Christoph F. Breidbach et al.
3 citations
Journal of service management
AI in Service Interactions
7.44
article

Conscious artificial intelligence in service

Daniel Beverungen, Paul P. Maglio, Lars‐Erik Casper Ferm, Christoph F. Breidbach, Alexander Twigg, Jochen Wirtz
article en
3 citations

Abstract

Purpose The purpose of this study is to identify, analyze and explain the implications that could arise for service settings if artificial intelligence (AI) systems develop, or are perceived to develop, consciousness – the ability to acknowledge their own existence and the capacity for positive or negative experiences. Design/methodology/approach This study proposes and explores four hypothetical scenarios in which conscious AI in service could manifest. We contextualize our resulting typology in the health service context and integrate extant literature on technology-enabled service, AI consciousness and AI ethics into the narrative. Findings This study provides a unique theoretical contribution to service research in the form of a Type IV theory. It enables future service researchers to apprehend, explain and predict how functionally conscious AI in service might unfold. Practical implications The ethical use of conscious AI in service could emerge as a distinct competitive advantage in the future. Achieving this outcome involves speculative yet actionable recommendations that include training, guiding and controlling how humans engage with such systems; developing appropriate wellbeing protocols for functionally conscious AI systems and establishing AI rights and governance frameworks. Originality/value An increasingly prolific public discourse acknowledges that conscious AI systems may emerge. Against this backdrop, this study aims to systematically explore a question that is perhaps the most critical and timely, but also inherently speculative, in relation to AI in service research by introducing much-needed theory and terminology.

Journal of service management
University of California, Merced (US), Queensland University of Technology (AU), The University of Queensland (AU), National University of Singapore (SG), The University of Western Australia (AU), Paderborn University (DE)
Openalex Percentile: Top 3%
AI in Service Interactions
7.44
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