Alyssa Weiss & Rosina Mete: Incorporating Video AI to Assist CFT Students: A Conceptual Framework

Artificial intelligence (AI) is increasingly integrated into couple and family therapy (CFT) education, offering innovative approaches to skill development and experiential learning. The following conceptual paper examines the application of video-based AI tools in CFT graduate programs, addressing both opportunities and ethical considerations. While AI technologies present potential benefits such as enhanced access to simulated therapeutic scenarios, personalized feedback, and supplemental learning experiences, significant concerns remain regarding confidentiality, privacy, cultural bias, and the limitations of AI in capturing the relational complexity central to systemic practice. The authors present a reflective framework, EEE (Empower Students, Enhance Curriculum and Engage Students in Learning) and assessment tool to guide educators in evaluating the professionalism, clinical appropriateness, and pedagogical suitability of AI-generated therapeutic scenarios. This framework emphasizes AI as a supplemental resource rather than a replacement for human supervision, clinical training, or therapeutic relationships. Recommendations for ethical implementation in CFT curricula are discussed.

Weiss, A., & Mete, R. (2026). Incorporating video AI to assist CFT students: A conceptual framework. International Journal of Systemic Therapy, 1–17. https://doi.org/10.1080/2692398X.2026.2622633

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Matthew Dunleavy wearing a pink and purple polka-dot shirt under a grey blazer with red-framed glasses and a long reddish-brown beard smiling into the camera
Matthew Dunleavy

Senior Educational Developer, Faculty Excellence and Development

Matthew Dunleavy (he/him) is an educational developer and scholarly teacher with over 9+ years’ experience. He immediately joins our CTEI from York University where he was an Educational Developer with the Teaching Commons; before entering that role, he served as the Program Director of the Online Learning and Technology Consultants (OLTC) Program at the Maple League of Universities (Acadia University; Bishop’s University; Mount Allison University; and St. Francis Xavier University). In 2022, he was awarded the D2L Innovation Award in Teaching and Learning by the Society for Teaching and Learning in Higher Education (STLHE) for this work.