{"title":"The potential and perils of generative artificial intelligence in psychiatry and psychology","authors":"Arun J. Thirunavukarasu, Jessica O’Logbon","doi":"10.1038/s44220-024-00257-7","DOIUrl":null,"url":null,"abstract":"Generative artificial intelligence (AI), exemplified by large language models such as ChatGPT, shows promise in mental health practice, aiding research, training and therapy. However, bias, inaccuracy and trust issues necessitate careful integration with human expertise.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature mental health","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s44220-024-00257-7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Generative artificial intelligence (AI), exemplified by large language models such as ChatGPT, shows promise in mental health practice, aiding research, training and therapy. However, bias, inaccuracy and trust issues necessitate careful integration with human expertise.
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