Do AI polls mirror public opinion
The article discusses the use of artificial intelligence models, especially ChatGPT, in opinion polls. It begins by exploring the possibility that these models might replace hundreds or thousands of human participants by simulating a diversity of viewpoints. Studies indicate that large language models can generate a wide range of synthetic responses, but they face challenges related to their reliability and potential biases, which stem from the data they were trained on. Despite these limitations, AI can enhance survey design, simplify questions, and facilitate data analysis. However, using artificial respondents raises concerns about the disconnect between genuine public opinion and study results, threatening the credibility of surveys—especially as participation rates decline and costs increase. Future research suggests that hybrid approaches combining human surveys with AI technologies will be adopted more accurately and transparently, emphasizing the continued importance of human researchers to ensure the reliability of findings.
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