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LLM anthropomorphism sparks ethical debate, review finds

By PulseAugur Editorial · [1 sources] ·

A new scoping review published on arXiv examines the ethical considerations surrounding the anthropomorphism of large language model (LLM) conversational agents. The paper identifies that while these agents can exhibit human-like qualities that increase user engagement, they also raise ethical concerns such as deception and overreliance. The review synthesizes existing literature on conceptual foundations, ethical challenges, and methodologies, noting a need for more empirical work to guide the ethical deployment of anthropomorphic cues in LLM-based agents. AI

IMPACT Highlights ethical considerations for designing and deploying conversational AI, influencing user interaction and trust.

RANK_REASON The cluster contains an academic paper published on arXiv detailing a scoping review of a specific AI topic. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLM anthropomorphism sparks ethical debate, review finds

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The cluster contains an academic paper published on arXiv detailing a scoping review of a specific AI topic. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Andrea Ferrario, Rasita Vinay, Matteo Casserini, Alessandro Facchini ·

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

    arXiv:2601.09869v2 Announce Type: replace Abstract: Anthropomorphisation -- the phenomenon whereby non-human entities are ascribed human-like qualities -- has become increasingly salient with the rise of large language model (LLM)-based conversational agents (CAs). Unlike earlier…

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