Mr. Seán O'Sullivan:

That was the motivation behind this project. As each new model of our current AI content-detection systems comes out, we almost have to rebuild the binary classifiers we have made. Last year, I created an AI content-detection system trained using the contemporary corpus of American English and samples from GPT-3, yet I found it could be bypassed through paraphrasing and obfuscation techniques, as will continue to be the case as these systems continue to develop. Therefore, it would be very interesting to explore just to what degree AI can mimic an author's writing. From the research, I found that GPT-3 and GPT-4 are not able to mimic it to such a believable level that an authorship verification system cannot make a differentiation. As these technologies continue to develop and to be integrated into every part of our lives and careers, I am not sure what will occur.

I agree that the AI content detection systems are always moving against a moving target. That is why I pivoted it in this project. One’s individual writing style never changes. Well, that is a stretch. It develops over time but you can take markers of that and you can reference those markers. It is an excellent question. I am continuing to develop my project and that is exactly what I will be exploring.