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.

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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.

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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."