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

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Video Summary

Darlene King, an assistant professor and deputy medical information officer at Parkland Health, discussed ethical considerations surrounding AI in mental health care. Her talk delved into how AI systems, especially chatbots, have rapidly evolved, with a focus on ethical use in clinical settings. Key points covered included the risks of bias in AI, liability issues, and the potential for automation bias, where users overly trust AI outputs. King highlighted the importance of knowing AI's data sources, as biases can arise during the machine learning process. She stressed the need for transparency and patient consent when using AI systems, particularly in healthcare settings, to comply with regulations like HIPAA. Additionally, King pointed out potential pitfalls, including copyright issues and risks from misleading AI outputs. The session concluded with recommendations for healthcare professionals to ensure any AI tools used are reliable and ethical, emphasizing the importance of human oversight in AI-driven decisions and advocating for mental health professionals' involvement in AI development to better tailor these technologies to the unique needs of psychiatry.

Keywords

AI in mental health

ethical considerations

AI chatbots

bias in AI

automation bias

patient consent

HIPAA compliance

AI transparency

human oversight