Artificial intelligence (AI) for air traffic management refers to the use of advanced machine learning and computational techniques to automate or augment various tasks in the air traffic control system. This can include using AI to predict traffic patterns and conflicts, optimize routes, and assist controllers in decision-making. AI systems can also be used to analyze data from radar and other sources to improve the accuracy and timeliness of information available to controllers. By automating certain tasks and providing controllers with more accurate and timely information, AI can help to improve the efficiency, safety, and overall performance of the air traffic management system.