Project Summary The key objectives of the AI Summit are: Open collaboration and engagement with FDA and industry to discuss AI challenges and opportunities Identify innovative solutions for implementing AI in across healthcare. AFDO proposes the AI Summit Scientific Meeting plan to follow this format: Years 2022-2026 will be an in-person conference with presentations and facilitated discussions on how AI is, has been, and will be used in the healthcare industry to advance patient care. During each meeting, a group of 130+ AI leaders from all areas of the healthcare industry will come together to present work done in one of the three key working teams: AI in Operations Team (AIO), Good Machine Learning Practices Team (GMLP), and AI at the Point of Care (AI@POC Team). AI in Operations Team is an organized, cross-industry discussion group of FDA and industry professionals working to increase the predictive assurance of product quality across all operations through the power of AI. The problem this team is trying to solve is to alleviate the anxiety and hesitancy around expanding use of AI in operations. The goal is to work collaboratively towards increasing the awareness of AI use, and exploring additional applications. Good Machine Learning Practices Team is bringing the world of AI activity into one place in order to increase the awareness of the current good work, but also to collaboratively further solutions that address challenges related to AI implementation across the industry. The problem this team is trying to solve is to avoid the risks of unanticipated outcomes, unintended degradation in time, confusion for users, and incompatibility of results with other software that may use the output of evolving algorithms from machine learning. This group’s deliverables support the ability of organizations to use AI in a responsible and effective way. AI at the Point of Care Team is for physicians, healthcare systems members, and innovators seeking to leverage AI to improve patient care, clinical workflow, system operations, and reduce unnecessary costs. The problem this group is trying to solve is to safely and effectively develop and implement AI tools and identify the resources required to do so. This team’s emphasis is on creating deliverables that provide maximum Relationships, Outcomes, and Improvements (ROI).