Surveys and polls help measure what people think about issues ranging from politics to public health, but fewer people are responding these days, making polling far more expensive. Some researchers are now exploring whether AI-generated “synthetic respondents” could help fill the gap, raising new questions about accuracy, bias, and the future of public opinion research.
