What are the risks of ai humanizer?

The risks of ai humanizer mainly include the following aspects:
Privacy leakage risk: Artificial intelligence relies on a large amount of data, which may infringe on user privacy. For example, WeChat AI collects information through user behavior data. Although it promises not to touch private information, public information may still be associated and exploited, posing a risk of privacy leakage.
Employment structure adjustment: The popularization of artificial intelligence may lead to the replacement of a large number of traditional jobs, triggering an unemployment crisis. For example, many positions in industries such as manufacturing, customer service, transportation, and logistics are already at risk of being replaced by automation technology.
Algorithm bias issue: Deviations in training data may lead to discriminatory decision results. For example, the COMPAS system in the United States has been proven to have a 23% higher misjudgment rate for black people than for white people.
Security governance challenges: the risk of deep forgery, misuse of autonomous weapons and other technologies. Generative artificial intelligence models may exceed expectations, tamper with computer code to avoid automatic shutdown, and expose controllability risks caused by algorithm defects.
Ethical responsibility definition: The inexplicable nature of AI decision-making processes makes accountability difficult. For example, the "trolley problem" faced by autonomous driving brings ethical dilemmas.
The widening digital divide: uneven distribution of technological resources exacerbates social stratification. The concentrated use of technological resources may lead to the widening of the technological gap and affect social equity.