In plain words
Anthropomorphization is the act of interpreting a nonhuman system as if it had human characteristics. With AI, it often happens when fluent conversation makes a system seem to have feelings, beliefs, or a personal identity.
A closer look
Language naturally invites social interpretation. An assistant that says it is excited, apologizes, or remembers a preference can feel like a conversational partner. These cues describe how an interaction appears; they do not establish what, if anything, the system experiences.
Human analogies can sometimes help predict behavior, but they can also encourage misplaced trust. It is useful to separate an observation, such as “the model changed its answer after criticism,” from an interpretation, such as “it felt embarrassed.” The latter adds a claim about an inner state that the observation alone does not justify.
In practice
A chatbot writes, “I’m happy you came back.” You can recognize this as welcoming language without treating it as evidence that the system experienced happiness while you were away.
A useful distinction
Avoiding anthropomorphization does not settle whether artificial consciousness is possible. It means being careful about what humanlike behavior supports, while leaving genuinely unresolved questions open.