AI RESEARCH

Implicit Humanization in Everyday LLM Moral Judgments

arXiv CS.AI

ArXi:2604.22764v1 Announce Type: cross Recent adoption of conversational information systems has expanded the scope of user queries to include complex tasks such as personal advice-seeking. However, we identify a specific type of sought advice-a request for a moral judgment (i.e. "who was wrong?") in a social conflict-as an implicitly humanizing query which carries potentially harmful anthropomorphic projections.