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A Child Mental Health Clinician Meets Generative AI -for training
Problems of training for child mental health clinician
Opportunity : Not enough supervisors especially in rural area.
Language : For non-english speakers, language is a major barrier to self-study as well as taking supervision.
Ethics : Mental health treatment-related content often deals with a lot of personal information, making it difficult to share case details widely for learning -especially children.
Supervisor-Supervisee Relationship : The characteristics of the supervisor have a crucial influence on the supervisee.
Uniqueness of individual cases : Sometimes it is difficult to find cases similar to one's own.
→ Difficulty in ensuring a certain level of training quality, hindering the spread of evidence-based treatment.
Advantages of learning with Generative AI
Opportunity : You can learn anywhere, even on remote islands.
Language : Translatable into any language.
Ethics : For AI-generated cases, you can go into very personal details without considering ethical issues.
Supervisor-Supervisee Relationship : You need a supervisor, but also an AI supervisor with a less biased opinion.
Uniqueness of individual cases : You can see the therapy details of cases similar to your case.
What to watch out for when learning with Generative AI
Basically, avoid inputting real patient information into Generative AI.
(There are settings in Chat-GPT and others that are not used to train models, but use at your own risk)In manual-based psychotherapy learning, Generative AI sometimes leaves out important points. We recommend that you study the original version of the manual to confirm the information.
"AI never gives up recovery."
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