(2 CEUs)
with:
Shiri Sharvit, PhD
When: Friday, Oct 17, 2025 from 1:00-3:00 p.m. Where: Online via Zoom (link will be emailed 3 days before the event) Cost: BVPA Members Free, Non-Members $80, TPA Members 10% discount at registration with TPA Member Number, Student Non-Members $10.
When: Friday, Oct 17, 2025 from 1:00-3:00 p.m.
Where: Online via Zoom (link will be emailed 3 days before the event)
Cost: BVPA Members Free, Non-Members $80, TPA Members 10% discount at registration with TPA Member Number, Student Non-Members $10.
Program Description: Artificial intelligence (AI) holds great potential to advance behavioral healthcare, but it also raises important ethical, privacy, and clinical concerns. This training focuses on equipping behavioral health professionals with the knowledge and tools necessary to navigate these challenges responsibly. Through in-depth discussion and case examples, participants will explore key ethical frameworks, data privacy regulations, and potential biases inherent in AI systems. The training will highlight strategies for maintaining clinical integrity, fostering transparency with clients, and ensuring equitable outcomes when using AI tools. Participants will leave with practical guidelines for critically evaluating AI technologies and integrating them in ways that prioritize client safety, dignity, and therapeutic efficacy. Learning Objectives: Describe key ethical considerations and potential risks associated with the use of AI in behavioral healthcare. Identify common sources of bias and privacy vulnerabilities in AI-driven tools. Apply ethical decision-making frameworks to assess and implement AI technologies in clinical practice.
Program Description: Artificial intelligence (AI) holds great potential to advance behavioral healthcare, but it also raises important ethical, privacy, and clinical concerns. This training focuses on equipping behavioral health professionals with the knowledge and tools necessary to navigate these challenges responsibly. Through in-depth discussion and case examples, participants will explore key ethical frameworks, data privacy regulations, and potential biases inherent in AI systems. The training will highlight strategies for maintaining clinical integrity, fostering transparency with clients, and ensuring equitable outcomes when using AI tools. Participants will leave with practical guidelines for critically evaluating AI technologies and integrating them in ways that prioritize client safety, dignity, and therapeutic efficacy.
Learning Objectives:
Describe key ethical considerations and potential risks associated with the use of AI in behavioral healthcare.
Identify common sources of bias and privacy vulnerabilities in AI-driven tools.
Apply ethical decision-making frameworks to assess and implement AI technologies in clinical practice.
About Our Speaker Dr. Shiri Sadeh-Sharvit is a licensed clinical psychologist with over 20 years of experience treating complex mental health disorders. As an Associate Professor of Research at Palo Alto University, her work focuses on developing and evaluating evidence-based digital psychological interventions. Dr. Sadeh-Sharvit specializes in integrating technology and AI into behavioral healthcare, aiming to improve access to quality psychological services while preserving the essential human connection. She has presented internationally for prominent organizations such as the American Psychological Association, Academy for Eating Disorders, European iCARE Consortium, Johns Hopkins School of Public Health, and Mental Health America.
About Our Speaker
