Abstract
Natural language processing has started to be widely used in various fields after the development lag of the artificial language processing stage, statistical language processing stage, and deep learning stage. The ethical issues of natural language processing can no longer be ignored, and the research on the ethical issues involved in natural language processing has received corresponding attention. However, the close relationship between artificial intelligence and natural language processing has not been considered in past studies of natural language processing, and a separation between technology and ethics has emerged. The purpose of this paper is to summarize the current research on ethical issues of natural language processing in four aspects: predictability, privacy, decision and responsibility, and bias, respectively, from the relationship between AI and natural language processing in order to achieve a better understanding and prevention of ethical issues in the development of natural language processing with AI.
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