2023/05/21 by Jared Wong, Wong, Jared, Jin Kim +1 · 2 voices
Computer Science · Psychology · Social Sciences · #AI in Service Interactions #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Digital Mental Health Interventions #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Misinformation and Its Impacts #cs.AI #cs.CL #cs.HC #cs.LG
paper · pdf · doi:10.48550/arxiv.2305.12564
openalex publication_date 2023/05/21 · arxiv published 2023/05/21 · arxiv updated 2023/05/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We investigate how people perceive ChatGPT, and, in particular, how they assign human-like attributes such as gender to the chatbot. Across five pre-registered studies (N = 1,552), we find that people are more likely to perceive ChatGPT to be male than female. Specifically, people perceive male gender identity (1) following demonstrations of ChatGPT's core abilities (e.g., providing information or summarizing text), (2) in the absence of such demonstrations, and (3) across different methods of eliciting perceived gender (using various scales and asking to name ChatGPT). Moreover, we find that this seemingly default perception of ChatGPT as male can reverse when ChatGPT's feminine-coded abilities are highlighted (e.g., providing emotional support for a user).