How to view the limitations of AI humanizer tool?

While AI humanizer tool enhance user experience, they also face multiple limitations, mainly reflected in three aspects: technical defects, ethical risks, and social impact.  ‌
Technical limitations
AI generated anthropomorphic content often suffers from logical contradictions, hollow content, and other issues, such as:
The output results may have inconsistent or repetitive logic before and after, lacking practical case support
Unable to dynamically adjust design schemes to adapt to user feedback (such as real-time demand changes in UX design)
It is difficult to integrate diverse factors such as culture and ecology in cross domain collaborative design
Ethical risk
Fuzzy attribution of responsibility: When AI tools cause disputes, the law has not yet clearly defined the division of responsibility
Commercial abuse may mislead user expectations (such as educational apps inducing consumption through personification)
Long term use by children may affect their socialization development, and an age adaptation assessment mechanism needs to be established
social influence 
Excessive dependence may lead to technological backlash, causing users to have irrational expectations of AI (such as financial decision-making relying on AI recommendations)
Personification interaction may reduce users' tolerance for technical defects and increase the risk of abandonment
Possible exacerbation of workplace anxiety, with some practitioners experiencing a sense of career crisis due to AI substitution