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Introduction
Artificial intelligence (AI) is transforming behavioural healthcare, offering clinicians new tools to support client care, reduce administrative burden, and improve therapeutic engagement. Yet for many therapists, the question remains: where do I start?
This webinar offers a practical guide for clinicians seeking to navigate AI ethically and confidently. Designed specifically for therapists working in public and third-sector settings, it focuses on tools that enhance, but not replace, the human elements of care.
The session will cover key clinical applications of AI such as documentation support, session summaries, measurement-based care, and digital interventions. We will explore ethical and professional considerations, including bias, consent, and clinical responsibility. Real-world examples will illustrate how AI tools can be integrated thoughtfully to support decision-making and improve outcomes, while maintaining trust in the therapeutic relationship.
Participants will leave with a clearer understanding of when and how AI may be appropriate for their practice, as well as a framework for ongoing evaluation.
The event will be equivalent to 2hrs of CPD.
Content
• Overview of current AI tools used in behavioural healthcare.
• How AI can reduce clinician burden (e.g. documentation, progress tracking).
• Case examples of AI supporting therapeutic decision-making.
• Practical strategies to maintain clinical responsibility and therapeutic alliance.
• Identifying ethical risks: confidentiality, consent, over-reliance.
• Addressing bias and health equity in AI-enabled tools.
• Decision-making frameworks for selecting and using digital tools.
• Clarifying when AI is helpful, and when it is not.
• Review of the evidence base for popular tools currently in use.
• Emphasis on clinician empowerment and critical thinking.
Learning Objectives
1. Describe at least three current AI applications relevant to therapeutic work.
2. Identify at least two ethical risks associated with AI in mental healthcare and strategies to address them.
3. Explain how AI-enabled tools can support therapeutic processes while maintaining client trust.
Training Modalities
The instructor will use a diverse set of teaching modalities to engage participants and support practical learning. These will include didactic content presented with slides, real-world clinical case examples to illustrate key concepts, polls, brief self-reflective prompts to help participants consider how the material applies to their own clinical practice, and a live question-and-answer segment to encourage direct interaction.
Key References
Sadeh-Sharvit, S., & Hollon, S. (2025). AI integration in behavioral healthcare: A practical framework for clinicians. Journal of Technology in Behavioral Science. https://doi.org/10.1007/s41347-025-00532-z
Ruzek, J. I., Sadeh-Sharvit, S., Bunge, E. L., Sheperis, D. S., Fitzsimmons-Craft, E. E., Guinn, V., Joseph, R., Cameron, E., Taylor, C. B. (2024). Training the psychologist of the future in the use of digital mental health technologies. Professional Psychology: Research and Practice. https://doi.org/10.1037/pro0000567
Habicht, J., Dina, L. M., McFadyen, J., Stylianou, M., Harper, R., Hauser, T. U., & Rollwage, M. (2025). Generative AI–enabled therapy support tool for improved clinical outcomes and patient engagement in group therapy: real-world observational study. Journal of medical Internet research, 27, e60435. https://www.jmir.org/2025/1/e60435
https://www.jmir.org/2025/1/e60435Morgan, P., & Cogan, N. A. (2025). Using artificial intelligence to address mental health inequalities: co-creating machine learning algorithms with key stakeholders and citizen engagement. Journal of Public Mental Health, 24(2), 150-165. https://doi.org/10.1108/JPMH-07-2024-0095
About the presenter
Dr Shiri Sadeh-Sharvit is a licensed clinical psychologist with over 20 years of experience in evidence-based treatments and digital innovation in behavioural healthcare. She is an Associate Professor of Research at Palo Alto University and previously served as Chief Clinical Officer at Eleos Health, where she helped develop AI-powered tools for therapists.
Dr Sadeh-Sharvit’s work sits at the intersection of clinical practice, ethics, and digital transformation. Her research focuses on how clinicians can ethically and effectively integrate digital tools into their work without compromising the therapeutic relationship. She is the author of dozens of peer-reviewed papers on AI integration for clinicians, and has delivered invited trainings for the American Psychological Association, European i-CARE symposium, and numerous treatment associations worldwide.
Who should attend
This webinar is suitable for all clinicians working in mental health settings who are interested in how AI might support their practice. This includes primary care and NHS Talking Therapies professionals, low and high intensity practitioners, psychologists, nurse therapists, counsellors, psychiatrists, and social workers.
The session is appropriate for professionals working with adults, young people, or families in both primary and secondary care, especially those interested in reducing clinician burden, improving outcomes, or learning how to critically assess digital tools.