• Promoting population-representative data with accessibility, standardization, and quality

• Contextualizing the dialogue of transparency and trust requires accepting differential needs

• Prioritize ethical, equitable, and inclusive health care AI while addressing explicit and implicit bias

• Near-term focus is needed on augmented intelligence vs AI autonomous agents

• Develop and deploy appropriate training and educational programs to support health care AI

• Leverage frameworks and best practices for learning health care systems, human factors, and implementation science to address the challenges in operationalizing health care AI

• Balance innovation with safety via regulation and legislation to promote trust