Can AI‑Generated “Silicon Samples” Replace Real Survey Respondents?
The article explains how large language models can simulate virtual respondents—called silicon samples—to generate synthetic survey data, outlines the four fidelity criteria for evaluating their credibility, and demonstrates practical workflows with the open‑source EDSL Python library.
