{"title":"AI-Assisted Deception and the Emerging Challenge of LLMs in Forensic Psychiatry.","authors":"Jason G Roof","doi":"10.29158/JAAPL.250022-25","DOIUrl":null,"url":null,"abstract":"<p><p>Generative artificial intelligence (AI), including the large language model ChatGPT, has introduced potential new opportunities and challenges to the practice of forensic psychiatry. These powerful AI-based tools may offer substantial benefits in administrative tasks, report generation, and record summarization yet simultaneously present areas for further consideration, such as aiding evaluees in feigning psychiatric symptoms. Additional ethics and legal considerations exist regarding privacy, bias within AI models, and the introduction of fabricated or misleading AI-generated content into forensic assessments. Legislative efforts, privacy safeguards, and professional guidelines essential for responsible AI use are being developed. Forensic psychiatrists are uniquely positioned to influence responsible AI integration through education, advocacy, and development of best practices within psychiatry.</p>","PeriodicalId":47554,"journal":{"name":"Journal of the American Academy of Psychiatry and the Law","volume":" ","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the American Academy of Psychiatry and the Law","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.29158/JAAPL.250022-25","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"LAW","Score":null,"Total":0}
引用次数: 0
Abstract
Generative artificial intelligence (AI), including the large language model ChatGPT, has introduced potential new opportunities and challenges to the practice of forensic psychiatry. These powerful AI-based tools may offer substantial benefits in administrative tasks, report generation, and record summarization yet simultaneously present areas for further consideration, such as aiding evaluees in feigning psychiatric symptoms. Additional ethics and legal considerations exist regarding privacy, bias within AI models, and the introduction of fabricated or misleading AI-generated content into forensic assessments. Legislative efforts, privacy safeguards, and professional guidelines essential for responsible AI use are being developed. Forensic psychiatrists are uniquely positioned to influence responsible AI integration through education, advocacy, and development of best practices within psychiatry.
期刊介绍:
The American Academy of Psychiatry and the Law (AAPL, pronounced "apple") is an organization of psychiatrists dedicated to excellence in practice, teaching, and research in forensic psychiatry. Founded in 1969, AAPL currently has more than 1,500 members in North America and around the world.