LLM anthropomorphism sparks ethical debate, review finds

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 →

• Andrea Ferrario
• arXiv
• Large Language Model

• paper
• safety

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