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Encouraging original thought and clarifying the ethical use of AI in your syllabus can promote a culture of honesty. With the newly released Lite model, the Originality.ai AI Checker can safeassign detect chatgpt detect AI-written content with 98% accuracy and an under 1% false positive rate. It also allows for light AI editing (such as with Grammarly spelling or grammar suggestions). In order to get the most out of SafeAssign, it’s important to read its reports carefully. False positives are possible with any plagiarism tool, so it’s important to not only look at the percentage of matching text but also look at the highlighted text to determine if something has been plagiarized. does safeassign detect chatgpt also features DirectSubmit, a method wherein instructors can check papers outside of the school’s chosen LMS.

Specifically, SafeAssign analysis seeks to identify the similarities between the content it is observing and other content already created. The program has a database or resources that allow it to check the originality of the content. Moreover, it can search online through various search engines, enhancing its accuracy. While SafeAssign is an effective tool for detecting plagiarism, it may struggle to identify content generated by advanced AI models like ChatGPT. Once the analysis is complete, SafeAssign generates an originality report.

The model produces a well-organized, scientifically-sound text with references, showcasing its potential as a valuable tool for scientific writers. However, the authors caution against using AI-generated content without proper monitoring, as it may create biased or inaccurate content. In (Eke 2023), the author argued that the use of AI-powered text generators such as ChatGPT could potentially undermine academic integrity but also has the potential to revolutionize academia. Recently (Sadasivan et al. 2023) published a study investigating the reliability of current detection techniques in identifying AI-generated text. The researchers used a set of 10,000 text samples, half of which were generated by AI models, to evaluate the effectiveness of 10 different detection methods.

From there, the report also offers detailed information about each match it has found, including the specific sentence or phrase and where it was found among the database sources. Generally this report is available just a few minutes after the article is submitted, although it could take longer if it’s a longer paper or if there are several assignments in the queue to check. Unlike human plagiarists, AI-generated text introduces unique challenges.

In this view, the text in a manuscript is ultimately the product of an author, who decides to which extent to use its tools. Tools can produce harmful and harmless output, and the author must distinguish the two. You should understand the recurring flaws in ChatGPT content and the risks of using such content, such as inaccuracy, bias, obsolescence, and unclarity of origins. Yes, in the sense that you should not re-use your own academic writing verbatim between different publications.

Tools like ChatGPT craft content that doesn’t directly match anything previously written, slipping past detection systems focused on matching text. This system spots similarities and potential plagiarism but faces challenges with detecting AI-written texts. The third tool I found was also produced by an AI content generation firm. Traffic has grown 2-3x per week since we launched it a couple months ago.