Many state-of-the-art generative AI (GenAI) systems are increasingly prone to anthropomorphic behaviors, i.e., to generating outputs that are perceived to be human-like. While this has led to scholars increasingly raising concerns about possible negative impacts such anthropomorphic AI systems can give rise to, anthropomorphism in AI development, deployment, and use remains vastly overlooked, understudied, and underspecified. In this perspective, we argue that we cannot thoroughly map the social impacts of generative AI without mapping the social impacts of anthropomorphic AI, and outline a call to action.

翻译：许多最先进的生成式人工智能系统日益倾向于表现出拟人化行为，即生成被感知为类人的输出。尽管这已促使学者们日益关注此类拟人化人工智能系统可能引发的负面影响，但人工智能开发、部署和使用中的拟人化现象仍被严重忽视、研究不足且缺乏明确定义。本文认为，若不厘清拟人化人工智能的社会影响，便无法全面把握生成式人工智能的社会影响，并据此提出行动倡议。