The aim of the current research was to investigate the innovative solution to increase the safety of the aviation industry by using artificial intelligence capabilities. In this research, the evaluation of the capabilities of artificial intelligence in the infrastructure and control of the airport runway to solve the problem of slippage during landing and T-cuffs, as well as the construction and control of the moving Ford carriage during the Ford emergency was discussed. The results of the current research showed that artificial intelligence can detect runway slippage by using data from runway sensors and weather data and help pilots take the necessary measures to land the plane safely. Predict runway slippage in the future using historical data and weather forecast data. Also, artificial intelligence can help in designing a mobile landing gear more optimally and safely and controlling it automatically and safely. As a result, AI can identify potential hazards using various data, such as radar data, weather data, and runway performance data. It can help air traffic controllers take necessary actions to prevent accidents and can automate some air traffic control tasks. This can help reduce the workload of air traffic controllers and improve safety.