Shulou(Shulou.com)11/24 Report--

CTOnews.com, Nov. 8, according to the latest paper collected by sciencedirect, scientists rely on 20 features and machine learning algorithms to accurately distinguish whether content is created by human authors or generated by ChatGPT, with an accuracy of up to 99%.

Bing Image Creator generate AI Detector researchers say the model shows 99 per cent accuracy in distinguishing human writing from ChatGPT-generated text, and is significantly better than GPT-2 Output Detector, an AI detection software provided by ChatGPT manufacturer OpenAI.

The researchers also admitted that at this stage, the sample data tested by the model algorithm is not large enough, only tested articles in 13 chemical journals and 3 media, through 20 text features and XGBoost, can effectively distinguish between human collaboration and GPT-3.5 / GPT-4 generated content.

The researchers say these tests show that their method is simple and effective. They stress that, depending on prompts and models, the tool shows 98% mai 100% accuracy in recognizing text generated by artificial intelligence.

The researchers say OpenAI's current detector accuracy is currently between 10 and 56 per cent, and the tool is more advanced than OpenAI's.

The researchers further revealed that the goal behind the research and invention was to provide a way for the scientific community to assess "the penetration of ChatGPT into chemical journals, determine the consequences of their use, and quickly introduce mitigation strategies when problems arise".

CTOnews.com attaches the address of the paper here, which can be read in depth by interested users.

Heather Desaire, Aleesa E. Chua, Min-Gyu Kim, David Hua,Accurately detecting AI text when ChatGPT is told to write like a chemist,Cell Reports Physical Science,2023,101672,ISSN 2666-3864, https://doi.org/10.1016/j.xcrp.2023.101672.

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