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Live CE Training · For Clinicians and Agencies

Reading AI

Clinical Judgment in AI-Assisted PracticeAI is already in clinical work. This training makes sure clinical judgment stays in it too.

Register nowAgencies: request a proposal

Part of AI in Clinical Practice

The first cohort starts January 11, 2027

A 30-hour live course for mental health and substance use clinicians, capped at 25. Registration is open, and the payment plan closes November 10. Agencies can book private cohorts for their staff from spring 2027. Continuing education details will be announced.

Illinois CADC/CRADC: the course is not ICB-approved. You can petition ICB for credit yourself (a $25 petition fee, submitted at least 60 days before your certification expires; ICB reviews within 30 days). Your packet includes what the petition asks for: program description and timed schedule, learning objectives, presenter information, the AOD-specific and core-function content identified, and your certificate of attendance. ICB makes the final decision.

The situation

AI is already in the work

It arrives through the EHR, through documentation and transcription tools, and through the apps clinicians use on their own. Some of us use it every day. Some refuse to touch it. Most of us review what it produces quickly, between sessions, because it reads well.

AI helps. It drafts, summarizes, and takes real administrative load off stretched clinicians. It also has limits that don't show on the page. Every output is written from a particular position, and that position describes some clients far better than others. The clients it describes least accurately are often the ones this field serves: people who are justice-involved, low-income, or in non-abstinence recovery, and people whose race, culture, and lived experience fall outside the default the AI was trained toward.

Most guidance says to "verify the output." It doesn't teach what to verify, or how. This training does.

The approach: harm reduction, applied to AI

This training doesn't push adoption, and it doesn't ask anyone to stay away. The tools are already here, so the useful question is how to use them carefully, without the client paying for it. It's the same approach many clinicians already use with clients.

What changes

A shared standard for reading AI-shaped work

Whether you use AI daily or never, you read its output. It's in the notes you inherit, the plans you review, and what clients bring in.

  • You can read an AI-drafted note, plan, or handout as clinical work, and name what it assumes before you sign it
  • The language that follows clients for years gets checked, not just skimmed
  • You know which tasks you can check yourself, and when a check needs a colleague or supervisor
  • You have a practiced way to tell clients how AI is involved in their care
  • When a client is using a chatbot between sessions, you can talk it through with them, without pushing it or warning them off
  • For agencies: Enthusiasts and skeptics come out with the same vocabulary, so supervision conversations about AI actually go somewhere
  • For agencies: Each clinician still owns their review. Trained together, your team can put AI to work on the administrative load that wears staff down, knowing everyone reviews it with the same care
The course

Five stages, thirty live hours

Each stage builds on the one before it. You watch a 90-minute introduction on your own before the first live session. Everything after that is live: five stages, two practicums, and two consultation calls, for 30 CE hours in all.

Before you start

The Front Door

90-minute recorded introduction · not part of the 30 CE hours

Watched on your own before the first live session, so every session builds on the same starting point. Two demonstrations where you make the catch yourself.

Stage 1

Foundation

3 hours · Session 1, which also begins Recognition

What generative and agentic AI are and how their output gets made. Why every output is written from a particular position, why a better model doesn't change that, and what separates a position that has earned trust from one that hasn't.

Stage 2

Recognition

About 9 hours

Seeing three frames: the tool's, the client's, and the clinician's own. The clinician's own is the hardest, because when the tool agrees with you it feels like being right.

Stage 3

Judgment

4 hours

Deciding whether a given output serves this client. Sometimes the default fits, sometimes it doesn't, and the call belongs to the clinician.

Stage 4

Practice

4 hours

The working methods: review lenses, reading drafts from other perspectives, checking a note before signing it, what can go into a tool under HIPAA and 42 CFR Part 2, and knowing where the tool's own checks stop working.

Stage 5

The Client

4 hours

The course ends where the work does: the record that follows a client for years, what clients are told about AI's part in their care, and how to respond when clients use AI on their own between sessions.

Cultural humility runs through every stage

AI's defaults don't describe most of the people this field serves, and they don't describe every clinician either. Clients and clinicians of every background appear throughout the core material, not in a separate module.

What you leave with

Tools you can use on Monday

Each tool is taught with the judgment behind it, so you know what it checks for and where it stops working.

  • Review lenses for reading AI output from other perspectives: the rigorous clinician, the client, harm reduction, and culture, each with its limits named. You apply them yourself, whether or not you use AI.
  • A review to run before signing a note that AI helped draft
  • A note-language audit for the words that follow clients for years, such as "noncompliant," "drug-seeking," and "relapse"
  • A client disclosure guide with language for telling clients how AI was involved in their care

Works whether or not you use AI

These are ways of reading output, not software. They work on whatever reaches you: a note from a documentation tool, a suggestion in the EHR, something a colleague or client got from a chatbot. If your workplace uses AI, they fit inside its policies. Nothing in this training asks anyone to put client information into an AI tool.

Two ways to join

On your own, or with your team

Beyond the core

More ways to keep learning

Dates and details to come.

Coming 2027

Working with AI

Two live sessions, about a month apart

For clinicians who use AI day to day. Review methods, templates, and prompts for clinical content inside approved tools, with a focus on keeping your clinical framework from drifting back to the tool's defaults. Open to those who have completed Reading AI.

Coming 2027

Cluster sessions

Short CE sessions · length varies

Mini-arcs on one cluster of AI patterns at a time: the norm the AI keeps restoring, the cultural center it assumes, the default that survives a correction. Open to anyone; no prerequisite.

Coming 2027

Alumni consultation

Monthly · open format

An open call for anyone who has finished Reading AI. Bring what's working, what you're trying, what went sideways, and what your agency just rolled out.

Get started

Get updates, or start a conversation

Your information is used only to follow up about this training. Please leave client details out of every field.

Related reading

Get a feel for the approach

These blog posts draw on the same framework as the training. They are free to read and share with your leadership team.

Foundation · 1 of 3

AI Can Draft It. Reading It Is Still Clinical Work.

Why reviewing AI output is a clinical act, not a proofreading step.

Read the post
Foundation · 2 of 3

Capability Isn't the Problem

Why a better model doesn't remove the standpoint built into its answers.

Read the post
Foundation · 3 of 3

It's Not Wrong. That's the Problem.

Why agreeable, fluent output is the hardest kind to question.

Read the post
The fine print

Course details and policies

Everything you'd want to check before you commit: what each session covers, how registration and attendance work, and what happens if plans change.

Learning objectives, session by session

After completing each session, participants will be able to:

Session 1 · Mon Jan 11 · Foundation: How AI Output Is Made and Where It Stands (4 hours)

  1. Explain how generative and agentic AI produce output, and why that output always carries a standpoint that improving capability does not remove.
  2. Apply the accountable-standpoint test (what is this based on, and what is it accountable to?) to AI-generated clinical content.
  3. Place their own clinical tasks on the task-zone map, and name the three frames of Recognition: the tool's, the client's, and their own.

Session 2 · Tue Jan 12 · Recognition: The Echo and the Conserved Norm (4 hours)

  1. Describe the echo at three levels: output that agrees with the clinician, output that yields when challenged, and output that converges across users.
  2. Explain how AI output can conserve the standard or institutionally sanctioned option, drawing on the righting reflex from motivational interviewing.
  3. Identify the assumptions in an AI output written for a constructed scenario, and describe how each shapes the response.

Session 3 · Mon Jan 25 · Practicum 1: Recognition at Work (2 hours)

  1. Identify the standpoint in a new AI output without being told where to look.
  2. Apply Recognition review questions to an AI output encountered in their work, described without client identifiers.
  3. Name one pattern in their own reading of AI output.

Session 4 · Mon Feb 8 · Recognition: The Cultural Center and the Surviving Default (4 hours)

  1. Apply principles of cultural humility to identify the cultural center an AI output assumes, including when no culture is named.
  2. Distinguish an AI tool's stated value from its enacted default, including defaults that return after correction.
  3. Compare constructed cases in which the standard answer fits the client with cases in which it does not.

Session 5 · Tue Feb 9 · Judgment: Does This Fit This Client? (4 hours)

  1. Evaluate whether the frame of an AI output serves a particular client in constructed cases across populations outside the AI's default, including: BIPOC clients and clients whose culture differs from the AI's default; immigrant and refugee clients; multilingual clients and clients with limited English; LGBTQIA+ clients; justice-involved, low-income, and rural clients; people who use substances, in or out of recovery; neurodivergent clients; and youth and families.
  2. Identify what an output assumed was available to the client, and when judgment requires asking the client.
  3. Choose and justify a clinical response to an AI output (for example: use, revise, set aside, or ask), including when agreement or an institutional default makes it easy to accept.

Session 6 · Mon Feb 22 · Practicum 2: Judgment on Real Work (2 hours)

  1. Apply Judgment questions to an AI output from their work, described without client identifiers.
  2. Re-place their own clinical tasks on the task-zone map and explain what moved since Session 1.
  3. Describe one judgment call they would now make differently.

Session 7 · Mon Mar 8 · Practice: Building Review Into the Workflow (4 hours)

  1. Apply structured review lenses to read an output from standpoints not already in the room.
  2. Apply a pre-signing review to AI-assisted documentation: accuracy, support in the source, and ownership.
  3. Recognize when an AI output has moved away from its source or added content the source doesn't support, and explain when a review requires a real person.

Session 8 · Tue Mar 9 · The Client: Consent, the Record, and Clients' Own AI Use (4 hours)

  1. Explain the clinician's obligations when AI shapes documentation or treatment decisions about a client who is not present.
  2. Describe informed consent requirements for AI use in mental health services, using Illinois law as a worked example, and identify the requirements that apply where they practice.
  3. Revise a constructed client record for language, dignity, strengths, and cultural context, and outline what to disclose to clients about AI use.
  4. Respond to a client's own use of AI between sessions from a harm-reduction stance, assessing what it provides and what it risks, including crisis and privacy, without endorsing or discouraging it.

Sessions 9 and 10 · Mon Apr 5 and Mon May 3 · Consultation Call 1 and Consultation Call 2 (1 hour each)

  1. Apply the course's review methods to a use, problem, or question from current practice, described without client identifiers.
  2. Identify one review practice to strengthen, based on peer discussion.
  3. Evaluate a change in their workplace's AI use (a new tool, policy, or expectation) using the course's frames.
Who can register, and how

The course is open to mental health and substance use clinicians: professional counselors, addiction counselors, social workers, marriage and family therapists, clinical supervisors, and pre-licensed clinicians working under supervision. The content is taught at a graduate level. No experience with AI is needed, and no one is required to use it.

Register with the links on this page, paying in full or with the payment plan (available through November 10, 2026). Paid members get registration 48 hours before general registration. Each cohort is capped at 25.

Attendance and your certificate

Every session is live on Zoom. The room opens 15 minutes early for sign-in and tech checks, and instruction starts on time. You register for each session with the email you enrolled with, and attendance is confirmed from Zoom's participant report. To be credited for a session you need to be present for all of it.

One certificate of completion for 30 hours is emailed within 14 days after you have attended all ten sessions and submitted the course evaluation. If you miss a session, you can join that session live with a later cohort, free, within a year, for up to two sessions; your certificate is issued once all 30 hours are complete. Session recordings are for review only and don't count toward CE.

Refunds and cancellation

Once you have paid, you may cancel for a full refund up to 14 days before the first session. Within 14 days of the first session, your payment can be transferred to a later cohort within 12 months at the price you paid, or your seat can be given to a colleague, but is not refunded. No refunds are given after the course begins. If The Underrated Superhero cancels or reschedules a cohort and you cannot attend the new dates, you receive a full refund. If the continuing education credit offered for this course differs from what this page describes, you may withdraw for a full refund before the first session. Payment plans follow the same terms. If a plan payment doesn’t go through, you’ll get an email with a link to update your card. If it’s still unpaid after 14 days, your seat is paused until it’s settled. Certificates are issued once the course is paid in full.

Accessibility and accommodations

Sessions are held on Zoom with live captions available, and materials are provided in accessible digital formats. To request an accommodation, email connect@theunderratedsuperhero.com at least 14 days before the first session, and we will work with you to meet it.

Your information

We collect only what is needed to register you, verify your attendance, and issue your certificate: your name, email, professional credentials, attendance records, and evaluation responses. This information is kept in access-controlled systems and is not sold or shared. It is disclosed only when needed to verify your continuing education credit with an approving body, or when the law requires it. Records are kept for five years after your cohort ends.

Sessions are recorded for your cohort's review only. Recordings are available to that cohort for six months and are not shared outside it. Evaluation responses are reported only in summary. To see or correct your information, email connect@theunderratedsuperhero.com.

Concerns and complaints

If you have a concern about the course, its content, the presenter, or how your registration was handled, email connect@theunderratedsuperhero.com. You will receive an acknowledgment within 5 business days and a written response within 15 business days. If the concern is not resolved, you may request a review, and any remedy offered, including a refund where warranted, will be confirmed in writing. Complaints are kept confidential and never change how a participant is treated.

The Underrated Superhero LLC
7638 Merlot Court
Gurnee, IL 60031
(224) 331-4911 · connect@theunderratedsuperhero.com · theunderratedsuperhero.com

Join The Underrated Superhero: free for the newsletter and first word when registration opens, or as a paid member for 20% off this course and priority registration.

Stephanie Valentin, LCPC, CRADC, MAC, is a Child and Adolescent Therapist in Illinois with 15+ years in addiction and mental health treatment, most of it in agency-based outpatient practice. She has developed 12 NAADAC-approved continuing-education courses and is the founder of The Underrated Superhero, and has spent years building clinical tools with AI and documenting the standpoint its output carries. She holds an M.A. in Counseling Psychology from The Chicago School of Professional Psychology.

You're already reading AI output

Learn what to look for. The first cohort starts January 11, 2027.