Artificial intelligence is everywhere in healthcare, but for community health centers the question is simple: what actually helps your team and your members? In this conversation, we’ll cut through the hype and walk through where AI is genuinely useful and where it isn’t, including AI solutions for ambient documentation, risk stratification, remote monitoring, and AI companions. We’ll also tackle the harder questions: algorithmic bias in safety-net populations, what tools your members are already using, and how to build AI adoption that serves your mission instead of distracting from it. Whether you’re a clinician, administrator, or CHW, you’ll leave with practical criteria for evaluating tools and a framework for thinking about AI in your team’s workflow. By the end of this session, participants will be able to:

Shiri Sharvit, PhD, is a clinical psychologist and technology entrepreneur working at the intersection of behavioral science, community health, and AI. She is CEO and cofounder of Resolve Together, a company building family engagement tools for chronic care, and a Distinguished Professor of Research at Palo Alto University. Previously, she served as Chief Clinical Officer at Eleos Health, where she helped develop and scale AI for behavioral healthcare workflows. Her research has focused on digital health, AI in community care, and family-based interventions for chronic illness. Her current work explores how human expertise, and AI can together extend evidence-based care beyond the clinic into patients’ everyday lives.