1. INTRODUCTION Artificial intelligence is defined as two different neighboring entities that take on a completely different perspective. Defining artificial as something created or constructed by human action or influence for artificial use and behavior is considered false. Intelligence is defined as the ability to gather, understand and then appropriately use information and further expand knowledge. Artificial intelligence as a whole is identified as a "theory" in which computers or machines are capable of performing normally performed tasks that require human intelligence. Visual perception, speech recognition, language translation and decision making are some tasks that can be completed.2. SWARM INTELLIGENCES Hot intelligence is the development of the collective intelligence of groups of simple agents, it is a type of artificial intelligence and its purpose is to simulate the behavior of social insects or swarms. A swarm is seen as a set of structures of interacting agents, but technically it is considered a decentralized self-organizing system. For example, an ant colony where all agents (ants) interact as a self-organized system knowing their individual roles. Individually ants are unable to solve complex problems they may face, while colonies collectively can solve complex problems such as identifying the nearest food source. Swarm intelligence results in coordinated actions without any external coordinator or controller. Natural systems that exhibit swarm intelligence are a colony of ants similar to a flock of birds or a herd of animals as they all move together in groups and are behaviorally distinct. Even if individual behavior is distinct, group members have the ability to act unanimously. The core part of the paper was conducted to identify whether these would be successful. At this stage conflict resolutions during the air traffic control process are mostly theoretical.5. CONCLUSION In conclusion, implementing ACO for air traffic control has advantages and limitations as ants seek the shortest route to the food source related to aircraft trying to reach their destination. ACO can be successful in air traffic control because it allows for the correction of errors, the removal of conflict zones, and the improvement of travel speed. There are also constraints as this concept is not 100% accurate, but with the flexibility of ACO it has the ability to react to any possible problem and then appropriately assign a solution. Although the risk from aircraft is greater than that from ants, there is plausible evidence that the implementation of ACO for air traffic control will be a success.