Artificial intelligence LLM ML ethics
This study discusses how detectable AI-generated text is when modified using humanization methods and explores the ethical implications of this practice. First, the working principles of AI detectors and the criteria used are explained, followed by an examination of the techniques employed during humanization. Experiments conducted using Wikipedia and Kaggle data showed that AI-generated texts could be distinguished with 99.7% accuracy. The results indicate that such methods do not offer a permanent solution and that the real issue is the need to observe ethical principles.
ISSN : -
Volume 1 Issue 1
Submission Date: 2025-10-17
Accepted Date : 2025-11-15
Available Online : 2025-11-20
Publication Date :2025-11-20
Cite as :
Türkyılmaz, M., Kutlu, Y. (2025). Examining Humanization Methods in AI Applications and Evaluating Them from an Ethical Perspective. Health science and Green Technology, 1(1), 36-41, doi :