Training Therapists in the Age of AI: Preventing Deskilling and Teaching Clinical Judgment

About this episode

Training Therapists in the Age of AI: Preventing Deskilling and Teaching Clinical Judgment

As artificial intelligence becomes increasingly embedded in mental health care, therapists, supervisors, and educators face a critical responsibility: integrating AI tools without eroding clinical judgment, reasoning, and skill development.

In this continuing education episode of the Modern Therapist’s Survival Guide, Curt Widhalm and Katie Vernoy examine how AI can create the illusion of competence while quietly undermining the processes therapists rely on to learn how to think clinically. They explore therapist deskilling as a systemic issue shaped by training models, supervision practices, and productivity pressures rather than individual failure.

This episode focuses on how supervisors, educators, and clinicians can preserve clinical mastery while using AI responsibly, emphasizing learning science, supervision ethics, and the importance of maintaining human judgment in an automated world.

In this episode, we discuss:

• How AI can mask gaps in clinical reasoning

• The competence paradox and automation bias in therapy

• Why struggle and ambiguity are essential for learning

• The role of supervisors and educators in preventing deskilling

• How to use AI without outsourcing clinical judgment

Continuing Education:
This episode is eligible for 1 unit of continuing education (CE). To earn CE credit, go to moderntherapistcommunity.com, register for a free profile, purchase the course, complete the post-test and evaluation, and download your certificate.

Full show notes, transcript, and course details are available at mtsgpodcast.com.

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Modern Therapist’s Survival Guide Creative Credits:
Voice Over by DW McCann
https://www.facebook.com/McCannDW/

Music by Crystal Grooms Mangano
https://groomsymusic.com/