The application of Artificial intelligence (AI) in the aviation field holds the potential to revolutionize various facets of aircraft development, manufacturing, operations, and safety. This study aims to explore the institutional framework required for the successful integration of AI technologies into the aviation industry. By examining current trends, regulatory challenges, and technological advancements, the research identifies the key institutional policies and strategies necessary to support the deployment of AI in aviation. The paper focuses on the development of AI-driven systems for autonomous flight, predictive maintenance, air traffic management, and operational efficiency. Furthermore, the study analyzes the role of government agencies, aviation regulators, and industry stakeholders in creating a regulatory environment that fosters innovation while ensuring safety and reliability. Through comparative analysis of international AI policies in the aviation field, the research outlines the best practices and guidelines for the effective application of AI in future aviation technologies. The findings underscore the need for a collaborative approach between governments, research institutions, and private enterprises to develop a robust AI infrastructure that will shape the future of the aviation industry.
Lee et al. (Mon,) studied this question.