The overall suspicion of AIGC is an index to measure the originality of the paper. In order to reduce the overall suspicion of AIGC, we can consider the following aspects: First, technology optimization. By training the model, we can let the computer learn the features and styles of a large number of existing papers and apply these features to the papers to be reduced. Secondly, distributed processing can improve processing efficiency and reduce error rate. Furthermore, credibility and supervision ensure the safety and accuracy of data. Moreover, user education allows users to understand and abide by relevant regulations and avoid unnecessary suspicion. Finally, continuous research, with the development of technology, we can constantly optimize and improve methods to reduce the overall suspicion of AIGC.