Dear Muhammad Yawar Khan , there are detection tools available. AI writing detection capabilities are built in Turnitin Feedback Studio (TFS), TFS with Originality, Turnitin Originality, Turnitin Similarity, Simcheck, Originality Check, and Originality Check+...

https://www.turnitin.com/blog/the-launch-of-turnitins-ai-writing-detector-and-the-road-ahead

https://www.turnitin.com/solutions/ai-writing

I recommend to read this manuscript.

ChatGPT in Academic Writing and Publishing: A Comprehensive Guide

Scientific writing is a difficult task that requires clarity, precision, and rigour. It also involves a large amount of research, analysis, and synthesis of information from various sources. However, scientific writing is also hard, time-consuming, and susceptible to errors. Advanced artificial intelligence (AI) models, such as ChatGPT, can simplify academic writing and publishing. ChatGPT has many applications and uses in academic and scientific writing and publishing such as hypothesis generation, literature review, safety recommendations, troubleshooting, tips, paraphrasing and summarising, editing, and proofreading, journal selection, journal style formatting, and other applications.

In this book chapter, we will discuss the main advantages, examples, and applications of ChatGPT in academic and scientific writing from research conception to publishing.

Read online.

https://achtago.com/publications/list/chatgpt-in-academic-writing-and-publishing/

Download full text

https://www.researchgate.net/publication/369817340_Chapter_2_ChatGPT_in_Academic_Writing_and_Publishing_A_Comprehensive_Guide

AI detection tools can detect the authenticity of text using a variety of techniques. One common method is to analyze the language used in the text, looking for patterns or characteristics that suggest it was written by a human or by a machine. Another approach is to compare the text to known examples of authentic and fake content, using machine learning algorithms to identify similarities and differences. AI tools can also analyze metadata associated with the text, such as the date and time it was created, to identify inconsistencies or anomalies that suggest it may be fake. Additionally, some AI tools use social network analysis to identify patterns of behavior or communication that suggest the text may be fraudulent or deceptive. Overall, AI detection tools use a combination of language analysis, machine learning, metadata analysis, and social network analysis to detect the authenticity of text.

Dear Muhammad Yawar Khan , yes, the publishers of research journals use AI detection tools!

Artificial intelligence (AI) detection tools have become increasingly popular for detecting research articles written by ChatGPT. ChatGPT is a large language model developed by OpenAI that is capable of generating human-like responses to text inputs.

It has been widely used in various applications such as chatbots, language translation, and content generation. However, the authenticity of research articles generated by ChatGPT has been a concern among scholars and researchers.

In this article the 10 steps are listed of how AI Detection Tools detect ChatGPT-Generated Research Articles...

https://www.ilovephd.com/detecting-chatgpt-generated-research-articles-using-ai-detection-tools/

A tool that could distinguish with accuracy whether ChatGPT produced submissions could potentially be a useful addition to our rigorous peer review processes if it had a proven track record of accurate detection...

Professor Desaire and colleagues reported they have developed a highly accurate method of detecting ChatGPT-generated writing in scientific texts.

Professor Desaire said it could help journal editors who find themselves deluged by material written with the help of the chatbot.

A detector might help editors prioritise what articles they send out for review, she said...

https://www.abc.net.au/news/science/2023-06-08/chatgpt-generated-scientific-papers-new-ai-dectection-tool/102449210

The recent surge in the development of AI technologies in the realm of writing has led to the rise and proliferation of AI detectors in the academic world. These detectors promise to be the gatekeepers of academic integrity by combating plagiarism and AI-generated content. While the ambition is noble, their practical implementation has seen its fair share of critical shortcomings...

While the motivation behind integrating AI detectors in the academic review is well-intentioned, the challenges they introduce necessitate a different approach. The scholarly publishing industry must be vigilant, weighing the potential pitfalls against the promise and exploring ways to harmoniously blend AI into the academic literature...

https://scholarlykitchen.sspnet.org/2023/09/14/publishers-dont-use-ai-detection-tools/?informz=1&nbd=6f03e560-5431-4744-8998-e00223ee7a82&nbd_source=informz