What are the drawbacks of ai to humanizer writing for certain jobs

The drawbacks of artificial intelligence writing are mainly reflected in the following areas:
Literary creation
The text generated by AI writing lacks linguistic diversity and personalization, making it difficult for the work to showcase the author's unique style, and there is a risk of excessive reliance on database content. For example, the frequent repetition of supernatural element names in narrative texts of primary and secondary schools affects the originality evaluation criteria.  ‌
Academic Creation
AI generated papers may encounter issues such as outdated journal records and citation conflicts due to data stitching, which can blur the boundaries of the true source. When used in rigorous scenarios such as medical journals, it may cause academic controversy.  ‌
Privacy and Security
The use of AI writing tools may involve personal privacy information processing and pose a risk of data leakage. Some tools generate text by crawling content from the backend database, increasing privacy risks.  ‌
Degradation of professional abilities
Long term reliance on AI writing may lead to the loss of independent thinking and innovation abilities in humans, especially in fields such as debate and official document writing. Overuse may reduce emotional expression concentration (such as a 42% decrease in emotional indicators for love letters).  ‌
Legal and compliance risks
There are loopholes in the verification of contract terms, intellectual property protection, and other aspects, such as the publication contract not clearly stating the obligation to verify source data, which leads to potential copyright disputes.  ‌