Abstract: Trust is regarded as one of the important factors to reduce individual perception. However, for artificial intelligence technology, there are still insufficient discussions on whether trust?affects differently?and how trust affects risk perception. A quota sampling survey based on a national sample found that: trust in scientists and the government can significantly reduce the Chinese public's risk perception of artificial intelligence, while trust in engineers and relatives tends to amplify risk perception; the influence of scientists on reducing public risk is greater than that of the government; the Chinese public only shows an overall sense of trust in the government, while the intention credibility, process credibility and behavior credibility of scientists have a negative predictive effect on public risk perception. To address modern risks of artificial intelligence, it is necessary to?establish diversity?risk communication channels, build a benign interaction mechanism among scientists, the government and the public, and adopt differentiated strategies to strengthen the trust characteristics of different groups.