Integrating digital technologies specifically artificial intelligence (AI) in the health sector requires a breakthrough in Healthcare and Public Health. Addressing the digital divide and enhancing health and well-being requires tapping into the genesis of the Internet, which envisioned Networked Improvement Communities (NICs), long championed by the Carnegie Foundation. By embedding AI in digital public infrastructure within communities, NICs can harness population science and appropriately apply statistical methods with AI. This accelerates their learning and improvement processes so that they can more efficiently and effectively improve individual healthcare and public health. The concept of NICs is integrated in our proposed Community Learning and Living Labs (CLLLs)—through the socio-technical mechanism of data cooperatives. CLLLs serve as a societal framework that aggregates and applies AI on appropriately governed scientifically sourced data to improve community resilience, health outcomes, and overall well-being. This chapter discusses the theoretical underpinnings, practical applications, and case studies for the trustworthy, ethical, participatory application of AI in CLLLs.