To bolster our testing framework and diagnose statistical trends of false positives, in April 2023 we performed additional tests on 800,000 additional academic papers that were written before the release of ChatGPT to further validate our less than 1% false positive rate. In other words, we might flag a human-written document as AI-written for one out of every 100 fully-human written documents. We strive to maximize the effectiveness of our detector while keeping our false positive rate - incorrectly identifying fully human-written text as AI-generated - under 1% for documents with over 20% of AI writing. We are actively working on expanding our model to enable us to better detect content from other AI language models. Because the writing characteristics of GPT-4 are consistent with earlier model versions, our detector is able to detect content from GPT-4 (ChatGPT Plus) most of the time. Using the average scores of all the segments within the document, the model then generates an overall prediction of how much text in the submission we believe has been generated by AI.Ĭurrently, Turnitin’s AI writing detection model is trained to detect content from the GPT-3 and GPT-3.5 language models, which includes ChatGPT. If it determines the entirety of the sentence was generated by AI it will receive a score of 1. If our model determines that a sentence was not generated by AI, it will receive a score of 0. The segments are run against our AI detection model and we give each sentence a score between 0 and 1 to determine whether it is written by a human or by AI. Those segments are then overlapped with each other to capture each sentence in context. When a paper is submitted to Turnitin, the submission is first broken into segments of text that are roughly a few hundred words (about five to ten sentences).
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