Artificial intelligence is one of the fastest growing areas of computing today. There are two general divisions for it. The first refers to the degree of its functionality and consciousness, distinguishing four types: reactive artificial intelligence, artificial intelligence with limited memory, artificial intelligence with theory of mind, and self-conscious artificial intelligence. The second type of division is based on its capacity and classifies it into two categories: weak artificial intelligence, which is less powerful and is forever used in process automation, and strong artificial intelligence, which is much more capable, as it would be able to reason and learn in the way that humans do, but does not yet exist in practice. It consists of several fundamental mechanisms, such as learning, problem solving, perception and reasoning. It is divided into several areas, including deep learning, machine learning, natural language processing, expert systems, robotics, computer vision and cognitive computing. All these areas are already included in the organization of air transport, which is one of the key branches of transport. AI systems can be implemented by performing multiple tasks at the airport, including video and audio surveillance, baggage screening, ensuring runway safety, checking pilot readiness, ensuring cybersecurity, predictive aircraft maintenance, simulating the system using digital twins, improving operational, time and cost efficiency, and creating a more enjoyable passenger experience. Thanks to its ability to make autonomous decisions, process large amounts of data and operate in real time, it contributes to the increasing optimization of aviation processes, which has a very positive impact on the results of airlines and the entire industry.
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