Abstract
This research seeks to present the production of academic and scientific papers using artificial intelligence for Chat GPT language modeling in different areas of higher education. To obtain the results, the quantitative approach was followed, the type of research is descriptive with a non-experimental design at the field level. The size of the population were the teachers of various careers at the Machala Metropolitan University. For the sample, a probabilistic sampling with simple random selection was used, calculating the sample size with a margin of error of 5% and a confidence level of 95%. The main results in the application of the instrument are, among others, the fact that none of the teachers could detect that the document they reviewed was created by artificial intelligence and they gave it an average score of 8.88/10 and that the platform anti plagiarism Compilatio also generated an average of 1% similarity, demonstrating that academic and research papers are currently indistinguishable from human-made work, neither in human review nor on anti-plagiarism platforms. plagiarism.
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