Eric T. Beeson, PhD, LPC (he/him) is Professor and Chair of the Counseling Department at Marshall University and a strategic adviser to SimCareAI, where he helps guide the platform’s ethically grounded use of artificial intelligence in mental health professional training. Over nearly two decades, Eric has woven together clinical practice, teaching, and research across residential youth treatment, community mental-health and substance-use programs, collegiate recovery initiatives, private practice, and neurofeedback clinics.
His commitment to innovation and service has earned wide recognition. Eric is a recipient of the American Counseling Association’s Gary R. Walz Trailblazer Award and Professional Development Award, and he served as the 43rd President of the American Mental Health Counselors Association. He co-founded the Journal of Mental Health Counseling’s “Neuroscience-Informed Counseling” section, co-edited “The Neuroeducation Toolbox: Practical Translations of Neuroscience in Counseling and Psychotherapy”, and founded the Brainstorm Neuroscience Community, each initiative reflecting his drive to translate neuroscience into practical tools for mental health professionals.
When he steps away from the classroom and lab, Eric gravitates outdoors. You might spot him on a tennis court, cheering at a baseball game, hiking West Virginia’s rolling hills, or strategizing over a favorite board game with family and friends. Whether in professional endeavors or personal pursuits, he stays focused on one goal: turning cutting-edge science and technology into sparks that ignite discovery and elevate the mental health and well-being of all people.
If, When, and How: A Practical Ethical Framework to Guide your Exploration of Generative AI
This session equips practicing clinicians with a clear, clinically grounded framework for evaluating generative AI in psychotherapy and integrated care settings. Moving beyond basic awareness, participants will examine how AI systems function, identify ethical and clinical risks, and use an “if, when, and how” framework to make defensible decisions about AI use. Emphasis is placed on protecting the therapeutic relationship, maintaining clinical judgment, and integrating AI in ways that enhance care without compromising ethical standards. Less...
Learning Objectives
- Explain the basic architecture of generative AI and how it produces outputs relevant to clinical practice.
- Evaluate the appropriateness of generative AI use in psychotherapy using an “if, when, and how” ethical decision-making framework.
- Apply the framework to realistic clinical scenarios to determine appropriate use, necessary safeguards, and clear limits in practice.
Friday, July 24, 2026
Live Interactive Webinar
01:00 PM EDT - 02:30 PM EDT
EARN 1.5 CE Credit Hours
About the speaker
Eric T. Beeson, PhD, LPC
Professor and Chair of the Counseling Department at Marshall University
Agenda
1:00–1:15 PM – Welcome, objectives, and current
state of AI
1:15–1:35 PM – Understanding AI architecture
1:35–2:00 PM – Ethical framework application
2:00–2:15 PM – Q&A
2:15–2:30 PM – Wrap-up, CE Process
CE Information - Earn 1.5 CE Credit Hours
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CE Process Info
Before the event, you will receive an email from CE-Go with access to the virtual event. After the event, you will receive access to your evaluation and continuing education certificate via a personalized "attendee dashboard" link, hosted on the CE-Go website. This link and access to the virtual event will be sent to the email account you used to register for the event.
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- Complete evaluation forms for the event
- Download your continuing education certificate in a PDF format
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Disclosure
DISCLOSURE OF RELEVANT FINANCIAL RELATIONSHIPSCE Learning Systems adheres to the ACCME’s Standards for Integrity and Independence in Accredited Continuing Medical Education. Any individuals in a position to control the content of a CE activity ― including faculty, planners, reviewers, or others ― are required to disclose all relevant financial relationships with ineligible entities (formerly known as commercial interests).
The following relevant financial relationships have been disclosed by this activity’s planners, faculty, and the reviewer:
PLANNERS AND REVIEWER
The planners of this activity have reported that they have no relevant financial relationships.
FACULTY
The faculty of this activity have reported that they have no relevant financial relationships.