Perceived trustworthiness and moral competence of a GenAI-enabled ethical robot advisor

作者：Ali Momen, Chad C. Tossell, Richard E. Niemeyer, James C. Walliser, Michael T. Tolston, Gregory J. Funke, Ewart J. de Visser · 发表于：Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems · 年份：2025 · DOI：10.1075/is.25072.mom · 被引用次数：4 · 研究领域：Ethics and Social Impacts of AI、Explainable Artificial Intelligence (XAI)、AI in Service Interactions

Abstract Generative AI agents (GenAIs) powered by Large-language models (LLMs) have emerged as prominent technological advancements. As these sophisticated systems permeate diverse sectors ranging from business to entertainment, their capability to handle moral queries becomes a focal point of exploration. This study investigates how users perceive Delphi, a GenAI trained to respond to moral queries ( Jiang et al., 2025 ). Participants were instructed to interact with the agent, implemented either as a humanlike robot or a web client, to assess its moral competence and trustworthiness. Both agents received high scores for moral competence and perceived morality, yet fell short by not offering justifications for their moral decisions. Despite being deemed trustworthy, participants were hesitant about relying on such systems in the future. This study offers an initial evaluation of an algorithm with moral competence in an embodied human-like interface, paving the way for the evolution of ethical robot advisors.