The Risk of Information Overload Caused by Generative Artificial Intelligence and Its Countermeasures
With the widespread application of generative artificial intelligence(GAI)in various fields,its powerful information generation ability is prone to induce the risk of information overload,which may lead to a decline in information quality and difficulty in screening.Therefore,it is necessary to explore the problem of information overload caused by GAI in depth.By analyzing the specific manifestations and causes of information overload caused by GAI,specific solutions are proposed for different problems.The information overload risk caused by GAI is mainly manifested in three aspects:first,the decline of information quality;second,the difficulty of information screening;third,the homogeneity of information.In the future,the information overload risk caused by GAI can be alleviated by optimizing the quality and diversity of training data,strengthening information classification and filtering mechanisms,improving information display and interaction methods,and promoting data fusion.This study aims to enhance the understanding of the information overload problem caused by GAI,and provides a feasible solution as a reference for practical operation.
NETL
NSTL
万方数据
