Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/48132
Title: Balancing truth and lies: ethical management of AI in service encounters
Authors: Snyder, Hannah
Witell, Lars
VAN RIEL, Allard 
Magor, Thomas
Lutze, Shannon
Bougoure, Ursula
Issue Date: 2025
Publisher: Emerald
Source: Journal of Service Management,
Status: Early view
Abstract: Purpose: This article investigates the management of artificial intelligence (AI) as a frontline service technology in service encounters and its associated ethical aspects. It specifically examines the phenomenon of lying by proxy, in which AI, under human direction, may distort the truth to varying degrees, from white lies to significant fabrications. Design/Methodology/Approach: Using a conceptual approach, the study reviews existing literature on deceptive behaviors in service encounters and explores AI’s dual potential as both a substitute for and complement to frontline employees. It employs illustrative mini cases to demonstrate how the proposed conceptual framework applies to real-world contexts, emphasizing AI’s evolving role in service Findings: The paper introduces a framework to guide organizations in the ethical use of AI within service encounters. It emphasizes the importance of aligning AI applications with ethical standards to preserve trust and legal compliance while highlighting AI’s potential to enhance customer experiences Originality/Value: This work contributes to the discourse on service management, ethics, and customer experience by demonstrating how AI can be strategically managed to lie by proxy in a controlled and ethically responsible manner. The proposed framework and accompanying research agenda offer directions for future studies on integrating AI as a frontline service technology, ensuring that AI strengthens rather than undermines customer and societal trust in business. Implications: From a managerial perspective, the study provides guidance on the ethical deployment of AI in service encounters, offering strategies to balance enhanced customer experiences with transparency and honesty. Theoretically, it extends the understanding of service encounters by recognizing AI not merely as a passive frontline service technology but as an active participant capable of shaping service interactions through its capacity for deception.
Keywords: artificial intelligence;ethics;lying by proxy;customer service;trust;service technology
Document URI: http://hdl.handle.net/1942/48132
ISSN: 1757-5818
e-ISSN: 1757-5826
DOI: 10.1108/JOSM-12-2024-0538
ISI #: 001656216200001
Rights: Emerald Publishing Limited
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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