The repeatability and reproducibility of both models were also analyzed, showing that the generation of responses remains consistent in both cases. Notably, responses from ChatGPT model 4 were not regenerated from model 3.5, suggesting distinct algorithms and techniques in the newer model. Research findings have shown that ChatGPT models 3.5 and 4 can generate unique, coherent, and accurate responses that can evade text-matching software, presenting a potential risk for academic misconduct.

If you’re caught using ChatGPT or any other AI tools for assignments without permission, the consequences can be serious. At worst, universities can consider this academic misconduct, leading to failing grades, suspensions, or even expulsion. Academic dishonesty can also tarnish your academic record, making it harder to transfer credits or apply for jobs or graduate programmes.

See the following example where I ask ChatGPT to help me write a digital teaching philosophy. Another case to consider is if ChatGPT resorts to the overuse or repetition of specific phrases or details. Should this happen, SafeAssign might interpret it as plagiarism, especially if the repeated content closely resembles other entries in SafeAssign’s repository. I use ChatGPT and other AI tools every day and I have developed an intuition on whether a text was written by AI or not. Some of the obvious clues are the vocabulary (often more generic words and phrases) and lack of variation in sentence and paragraph length. The company that runs Blackboard (Anthology) is overly cautious when it comes to AI detection and you can read their thoughts on AI use in academic here.

Within the growth of generative AI, a host of entities have sought to create programs that can detect plagiarism. Because these AI systems can often take content that is already written, many have seen this as a crucial step in the overall integration of this AI technology in modern life. If Exclude submissions from the Institutional and Global References Databases&nbsp