Artificial intelligence generated content(AIGC)is a production method based on artificial intelligence(AI)technology that finds rules through data and automatically generates content.In contrast to computational intel...Artificial intelligence generated content(AIGC)is a production method based on artificial intelligence(AI)technology that finds rules through data and automatically generates content.In contrast to computational intelligence,generative AI,as exemplified by ChatGPT,exhibits characteristics that increasingly resemble human-level comprehension and creation processes.This paper provides a detailed technical framework and history of ChatGPT,followed by an examination of the challenges posed to political security,military security,economic security,cultural security,social security,ethical security,legal security,machine escape problems,and information leakage.Finally,this paper discusses the potential opportunities that AIGC presents in the realms of politics,military,cybersecurity,society,and public safety education.展开更多
With the development of open access,more scientific papers show the multi-dimensional academic impact,which makes researchers focus on the comparison between altmetrics and citations.By the use of statistical analysis...With the development of open access,more scientific papers show the multi-dimensional academic impact,which makes researchers focus on the comparison between altmetrics and citations.By the use of statistical analysis,we compare the citation and altmetrics of open access papers published in PLoS in past 10 years by 6 countries which are selected in terms of regional distribation,scientific level,native language,etc.,and find the following conclusions:Firstly,the level of scientific development and publication content in different countries have more effect on the 4 indicators of"citation","save","view"and"share"than the native language.Second,there is a significantly positive correlation between"citation"and"save"in the 6 countries,so as the"citation"and"view",while the altmetrics of"share"is just opposite.Therefore,to some extent,the altmetrics of"view"and"save"could be used to evaluate the scientific influence as a complement measurement of traditional citation metrics.Moreover,correlation coefficients between citations and part of altmetrics of the 6 countries are strong.Finally,the curve peaks of the 6 countries occurred in different years,papers published by developed countries have been active for slightly longer than that by developing countries.In detail,the"citation","save"and"view"peaks occurred later in developing countries such as China and Brazil than in some developed countries.Besides,the"share"peak occurred after 6 or 7 years,which is similar for the 6 countries.展开更多
基金This work was supported by the National Science Foundation of China[NSFC41971366,4231476]Fundamental Research Funds for the Central Universities of China[buctrc202132].
文摘Artificial intelligence generated content(AIGC)is a production method based on artificial intelligence(AI)technology that finds rules through data and automatically generates content.In contrast to computational intelligence,generative AI,as exemplified by ChatGPT,exhibits characteristics that increasingly resemble human-level comprehension and creation processes.This paper provides a detailed technical framework and history of ChatGPT,followed by an examination of the challenges posed to political security,military security,economic security,cultural security,social security,ethical security,legal security,machine escape problems,and information leakage.Finally,this paper discusses the potential opportunities that AIGC presents in the realms of politics,military,cybersecurity,society,and public safety education.
文摘With the development of open access,more scientific papers show the multi-dimensional academic impact,which makes researchers focus on the comparison between altmetrics and citations.By the use of statistical analysis,we compare the citation and altmetrics of open access papers published in PLoS in past 10 years by 6 countries which are selected in terms of regional distribation,scientific level,native language,etc.,and find the following conclusions:Firstly,the level of scientific development and publication content in different countries have more effect on the 4 indicators of"citation","save","view"and"share"than the native language.Second,there is a significantly positive correlation between"citation"and"save"in the 6 countries,so as the"citation"and"view",while the altmetrics of"share"is just opposite.Therefore,to some extent,the altmetrics of"view"and"save"could be used to evaluate the scientific influence as a complement measurement of traditional citation metrics.Moreover,correlation coefficients between citations and part of altmetrics of the 6 countries are strong.Finally,the curve peaks of the 6 countries occurred in different years,papers published by developed countries have been active for slightly longer than that by developing countries.In detail,the"citation","save"and"view"peaks occurred later in developing countries such as China and Brazil than in some developed countries.Besides,the"share"peak occurred after 6 or 7 years,which is similar for the 6 countries.
