Editorial: The promise and perils of generative AI in mental health
By
Nuo Han, Zengda Guan, Ang Li, Xiaoqian Liu, Xingyun Liu, Jia Xue
Summary
This editorial examines how generative artificial intelligence (GAI) is transforming digital mental health by enabling new capabilities such as generating therapeutic dialogues, simulated cases, and context-sensitive recommendations. It highlights the potential benefits for assessment, intervention, training, and service delivery, while also raising critical concerns about safety, reliability, clinical accountability, regulation, and the appropriate boundaries between human and machine roles in mental healthcare.
Source
Key quotes
· 3 pulledGenerative artificial intelligence (GAI) is rapidly reshaping the landscape of digital mental health.
This generative capacity creates new possibilities for mental health assessment, intervention, training, supervision, and service delivery.
At the same time, it raises urgent questions about safety, reliability, clinical accountability, regulation, and the appropriate boundaries between human and machine roles in mental healthcare.
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