A Scoping Review of the Ethical Perspectives on Anthropomorphising Large Language Model-Based Conversational Agents

By: Andrea Ferrario, Tetsuya Sakai, Matteo Casserini, Alessandro Facchini

Published: 2026-01-14

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Abstract

This scoping review maps ethically-oriented work on anthropomorphising LLM-based conversational agents, discussing benefits like engagement and inclusion versus concerns such as deception and overreliance. It aims to clarify the ethical implications of human-like AI interactions, guiding developers and policymakers on responsible use.

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A Scoping Review of the Ethical Perspectives on Anthropomorphising Large Language Model-Based Conversational Agents | ArXiv Intelligence