Research on the Issues of Infiltration of Values in Natural Language Processing:Taking ChatGPT as an Example
[Research purpose]Taking ChatGPT as an example,this paper explores the ways in which values are permeated and solidified in natural language processing,and explores the methods and paths to prevent the spread of uncontrollable information and consolidate the mainstream value system in the context of the widespread application of natural language processing technology.[Research method]Based on descriptive research,starting from four ways of value infiltration driven by ChatGPT,this study analyzes the possible trend of public opinion dissemination.Combined with the characteristics of values themselves,integrating knowledge from related disciplines such as philosophy of science and technology,ethics,etc.it summarizes the existing risks of value infiltration and solidification,and proposes corresponding countermeasures.[Research conclusion]By combining with ChatGPT,values can strengthen their concealment in the process of penetration through methods such as data feeding,self weakening,self optimization,and language landscape.After penetra-tion,they will be solidified through implicit education,internal knowledge differentiation,and de-practicality,thereby expand their influ-ence.By combining knowledge from multiple fields,this study proposes three basic principles for addressing this situation:dialectical de-velopment,tit for tat,and composite regulation,aiming to promote the healthy and stable development of intelligence collection and public opinion control work.
natural language processingvalue recognitioninfiltration of valuesintelligence collectionpublic opinion disseminationChatGPTtechnical risk
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