Considerations & Guidance for the Use of Generative AI in Psychiatry-View Presentation Slides

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The document, issued by the American Psychiatric Association, provides an overview of the ethical considerations concerning the deployment of artificial intelligence (AI) in mental health care. Chaired by Dr. Darlene King, the discussion explores the challenges and benefits of integrating AI into clinical settings. It begins with background information and industry terminology before addressing AI's potential applications, such as appointment scheduling, cognitive behavioral therapy delivery, clinical documentation assistance, and digital phenotyping.<br /><br />AI tools like ChatGPT have rapidly gained widespread usage due to their ability to simulate human conversation, evidenced by the example of a patient interacting with an AI chatbot. However, ethical concerns arise concerning AI's clinical implementation, especially regarding data privacy and security. It underscores the threat of data leakage, inference attacks, and discrimination, warning that AI outputs may be biased and unreliable, potentially harming underrepresented groups.<br /><br />The document calls for improved oversight, accountability, and privacy measures in AI applications, urging the health sector to adhere to regulations like HIPAA. It also emphasizes the need for transparency in AI development and data usage, noting that leading tech companies often withhold details about their proprietary AI systems, posing challenges in bias identification and risk assessment.<br /><br />Additionally, the document highlights a recent executive order aimed at ensuring AI safety, addressing algorithmic discrimination, and enhancing privacy-preserving techniques amidst AI's rapid growth. It appeals to mental health professionals to see AI as an augmentation tool rather than a replacement, urging continuous compliance with existing health frameworks and recommending platforms like the APA App Advisor Model for evaluating digital health tools.<br /><br />In conclusion, the document stresses the importance of integrating ethical considerations into AI deployment in mental health, advocating careful oversight, and equitable, transparent implementation to safeguard patient privacy and improve care quality.

Keywords

artificial intelligence

mental health

ethical considerations

data privacy

clinical settings

AI applications

bias and discrimination

privacy measures

health regulations

AI safety