How Anthropomorphic Language Impacts Public Perceptions of AI

A study involving 815 participants examined whether using human-like language to describe artificial intelligence alters public perception compared to neutral descriptions.

The research compared reactions to texts featuring large language models and recommendation systems, including a condition discussing AI dangers.

• The experiment found that the presence or absence of anthropomorphic language did not substantially affect participants' perceptions of AI.
• Views on AI were shown to shift in response to reading texts explicitly discussing its dangers.

The results indicate that immediate effects of anthropomorphic framing on public opinion are modest, though it remains possible that such language could influence perceptions over time or in naturalistic settings.