"An AI-informed supervision is constantly reminded to treat speech as metaphorical and not literal, since humans, including therapy patients, are very good poets and very bad reporters. AI never forgets to inquire why at this moment this thought occurred to the patient. It never forgets to consider projective identification -the communication of an intolerable feeling by getting the therapist to feel it. It never forgets to consider a lose-lose comment during a frame deviation."
"AI can equalize the power imbalance in supervision, if you think that's a good thing. With AI, supervisees-and their patients, for that matter-have as much factual knowledge as the person with more power. To me, that's a disadvantage, because I think the cure for the effects of misused power imbalances is not to eradicate power imbalances but instead not to misuse them. This exposes supervisees-and patients-to power imbalances and helps them discriminate the exploitive ones."
AI automates and perfects written clinical documentation, freeing clinicians from note-taking. AI consistently applies taught frameworks, prompting metaphorical readings of speech, asking why thoughts arose at specific moments, and flagging projective identification and frame deviations. AI can equalize factual knowledge between supervisees and supervisors, potentially reducing hierarchical informational advantages. Equalized knowledge may hinder exposure to power dynamics that teach discrimination of exploitative authority. AI often surpasses therapists and supervisors in raw intelligence, aiding differential diagnosis and structured assessments like personnel selection and violence prediction. Reliance on AI risks substituting answers for guided discovery and may disrupt therapeutic processes that require patient-led insight.
Read at Psychology Today
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