CE credits
Exam items
Series
Description
This course is designed to prepare licensed health service psychologists and mental health clinicians to integrate AI and AI-adjacent tools into clinical practice as “augmented intelligence” (i.e., a decision support system that enhances, rather than replaces, professional judgement).
CE Essentials ecourses feature a variety of interactive learning components, including expertly developed written content, knowledge checks, case-based examples, reflective exercises, and multimedia resources that reinforce key concepts and encourage active engagement.
This product is not included in the APA Unlimited CE program.
Learning objectives
- Define artificial intelligence and augmented intelligence.
- Explain how AIs systems are trained and why data quality matters.
- Identify primary use cases for AI tools in clinical practice using the AI in Clinical Practice Roadmap.
- Implement a framework to evaluate the evidentiary strength, tool availability, and workflow integration of available AI tools.
- Pinpoint the benefits and constraints of generative AI in clinical practice.
- Apply ethical, privacy, and bias considerations to AI tool evaluation.
Subject matter expert
Shiri Sadeh-Sharvit, PhD
Sadeh-Sharvit is a clinical psychologist and an associate professor of research at Palo Alto University. Her research develops strategies to integrate technology into behavioral healthcare. Focused on optimizing psychological interventions through innovative therapist-technology collaboration, her work addresses critical gaps in traditional therapy settings, emphasizing real-world applications. With a grant-supported exploration of digital tools, including mobile apps and screening methods, Sadeh-Sharvit strives to enhance accessibility, engagement, and efficacy in mental health assessment and therapy while reducing stigma. Her contributions include research on early screening apps, incorporating technology with therapy sessions, and the ongoing exploration of advanced digital tools within treatment protocols.


