Publication

Empathy, Ethics and Efficacy: The 3Es of Implementing Artificial Intelligence for Consumer Encounters

Fukukawa, K.,
Publication Date
2025-05-20
End of Embargo
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Rights
© 2025 The Authors. Published by Wiley Periodicals LLC. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
Peer-Reviewed
Yes
Open Access status
openAccess
Accepted for publication
2025-05-09
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Abstract
Drawing insights from virtue ethics and psychological perspectives on empathy, we propose a framework for integrating empathy, ethics, and efficacy (3E) to guide the responsible development and deployment of artificial intelligence (AI) technologies in consumer service encounters. It encourages developers, vendors, and users to improve efficiencies and productivity but, more importantly, to adopt an empathetic perspective with ethical decision-making during AI development and deployment. By simultaneously adopting descriptive, analytical, and prescriptive approaches to engage academics, practitioners, and public policymakers, we outline a future research agenda for enriching AI-consumer service encounters. Beyond conceptual integration, the framework offers practical insights for AI designers, businesses, and regulators by emphasising empathy as a bridge between efficacy and ethics. This perspective supports the development of AI technologies that not only enhance operational effectiveness but also foster consumer trust and well-being, ensuring AI-driven services remain human-centred and ethically sound. A structured decision-making model demonstrates how AI-driven services can balance automation with ethical considerations and empathetic engagement, offering a pathway for more responsible AI implementation.
Version
Published version
Citation
Fukukawa K and Trivedi R (2025) Empathy, Ethics and Efficacy: The 3Es of Implementing Artificial Intelligence for Consumer Encounters. Psychology and Marketing. Accepted for publication.
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