This episode explores the current state and future possibilities of visual analysis in behavior analysis, with particular focus on how artificial intelligence may enhance these practices. Dr. Kubina discusses limitations in current visual analysis practices, including inconsistent application of analysis techniques, lack of standardization in graph construction, and reliability issues in interpretation. The discussion extends to how AI tools might support more comprehensive and consistent visual analysis while maintaining the essential role of human judgment. The conversation includes practical considerations for implementing AI tools in clinical practice while maintaining ethical standards and professional competence

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