{"title":"如何评估生成式人工智能的影响","authors":"Graham Hosking","doi":"10.12968/s1353-4858(23)70053-6","DOIUrl":null,"url":null,"abstract":"It's impossible to escape CHatGPT and other large language model AIs that are promising to disrupt everything from homework to hacking. Generative AI has a lot to offer organisations looking to find efficiencies in their business processes. But it has to be approached intelligently and with a full understanding of the potential security pitfalls, not least to your data security.","PeriodicalId":506139,"journal":{"name":"Network Security","volume":"28 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How to assess the impact of generative artificial intelligence\",\"authors\":\"Graham Hosking\",\"doi\":\"10.12968/s1353-4858(23)70053-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It's impossible to escape CHatGPT and other large language model AIs that are promising to disrupt everything from homework to hacking. Generative AI has a lot to offer organisations looking to find efficiencies in their business processes. But it has to be approached intelligently and with a full understanding of the potential security pitfalls, not least to your data security.\",\"PeriodicalId\":506139,\"journal\":{\"name\":\"Network Security\",\"volume\":\"28 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Network Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12968/s1353-4858(23)70053-6\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Network Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12968/s1353-4858(23)70053-6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
How to assess the impact of generative artificial intelligence
It's impossible to escape CHatGPT and other large language model AIs that are promising to disrupt everything from homework to hacking. Generative AI has a lot to offer organisations looking to find efficiencies in their business processes. But it has to be approached intelligently and with a full understanding of the potential security pitfalls, not least to your data security.
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