Presented by Shiri Sadeh-Sharvit, PhD, Clinical Psychologist
Maryland license: MD-06276
2 CE credits
This event will be recorded and distributed to registrants. If you are unable to attend live, you can earn 2 CE credits by watching the video and passing the post-test. The recording will be available for 2 months.
Last day to register: Thursday, February 26, 2025
Artificial intelligence is rapidly shaping how individuals, partners, and families seek support, gather information, and communicate about their mental health. Couple and family therapists are already encountering clients who use chatbots for emotional support, rely on AI companions during periods of conflict or loneliness, or bring AI-generated content into sessions. At the same time, clinicians are exploring AI tools for documentation, case formulation, and care coordination. Many LMFTs want guidance on how these tools fit within a systemic model of care.
This presentation introduces a grounded, relationship-centered approach to evaluating and integrating AI in couple and family therapy. We will look at how AI affects family dynamics, attachment patterns, conflict cycles, parent–child interactions, and caregiver burden. Participants will learn how to talk with clients about their use of AI tools, how to protect confidentiality and prevent triangulation with technology, and how to assess the appropriateness of AI tools for different relational systems. The session is practical, nontechnical, and rooted in systemic principles that honor culture, context, and the therapeutic alliance.
Presentation Goals
This training is designed to help couple and family therapists evaluate and integrate AI tools in ways that strengthen relationships, support ethical care, and improve communication within families and couples.
Measurable objectives
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Identify three ways AI tools are currently influencing couple and family dynamics, including communication patterns, emotional regulation, and problem solving.
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Describe at least three ethical risks specific to relational therapy, such as triangulation with chatbots, confidentiality concerns, and uneven access to tools within a family system.
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Identify two culturally responsive strategies to recognize and mitigate bias when using or recommending AI tools with diverse families and youth.
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Apply a structured decision-making framework to a relational case scenario, determining when AI may support or undermine therapeutic goals within a couple or family system.
About the Presenter
Shiri Sadeh-Sharvit, PhD, is a Stanford-trained clinical psychologist and Distinguished Professor of Research at Palo Alto University. With more than two decades of experience treating complex mental disorders, she specializes in developing and evaluating AI-based tools that support therapists and clients. Dr. Sadeh-Sharvit has delivered invited keynotes and workshops for the American Psychological Association, the Academy for Eating Disorders, state associations, and international conferences. Her work bridges evidence-based clinical care and emerging technology, helping mental health professionals prepare for the future of practice.
TARGET AUDIENCE: Licensed psychologists, licensed social workers, licensed professional counselors, licensed marriage & family therapists, and pre-licensed professionals.
CE Credit Certificates
The course meets the qualifications for 2 hours of continuing education credit for LMFTs, LCSWs, LPCCs and/or LEPs as required by the California Board of Behavioral Sciences.
East Bay Chapter of CAMFT is approved by the California Association of Marriage and Family Therapists (Provider #52488) to sponsor continuing education for LMFTs, LCSWs, LPCCs, and LEPs. East Bay Chapter of CAMFT maintains responsibility for this program/course and its content.
Note: Certificates of Completion will be awarded to participants who attend the entire workshop and complete the course evaluation.
Consider Joining East Bay CAMFT
We invite non-members to consider joining East Bay CAMFT.
Member pricing:
Licensed Membership/Community Partner Fee: $75/annually
Pre-Licensed Associate/Student/Retired Membership Fee: $50/annually
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