Do You Trust AI Like ChatGPT? Share Your Thoughts in This Short Survey!

This dataset was collected to examine how explainability in generative AI systems affects user trust and behavioral intention, incorporating perceived risk as a moderator within the Stimulus–Organism–Response (S–O–R) framework. Data were collected from 271 respondents aged 18 or above, recruited online via academic mailing lists, professional networks, social media, and SurveyCircle between May and June 2025. The dataset includes demographic variables (gender, age, education, prior AI usage) and responses to Likert-scale items measuring explainability, trust, behavioral intention, and perceived risk regarding generative AI systems such as ChatGPT, Claude, Gemini, and DALL·E. All responses are anonymized. This dataset can be used for research on human–AI interaction, technology acceptance, and the psychology of AI explainability.