Baylor College of Medicine
Closing the AI trust gap between code and care
Our project turns patient experience, ethical reflection, and community knowledge into practical tools that improve healthcare where AI technology meets real people.
Our project will develop, evaluate and scale a Participatory AI Toolkit for Health (PATH). Guided by the Ancient Greek ethic of responsibility to one another, our project treats trust as an everyday practice that must be built into health AI design, governance, and use. Through participatory design sprints, clinical workforce training, policy monitoring, and community learning, we will combine ethical reflection with lived patient experience to support community-driven innovation in health AI moving forward.
Primary Barrier
Limited AI tools
Location
Texas
Solution Region
East South Central
Community Type
Urban
Annual Operating Budget
More than $500 Million

