Applications of Artificial Intelligence in the Aviation Industry and Air Accidents

Abstract

The purpose of this research is to identify and explain the capabilities of artificial intelligence on the aviation industry and air accidents. To review and analyze the strengths and weaknesses, opportunities and threats, the opinions of 25 managers, professors, experts and experts in the field of artificial intelligence have been used. Selected people in this field include people who have books, articles, authorships, translations in the field of aviation and artificial intelligence, and also have work experience as university professors, managers and consultants in terms of education and positions. Opportunities, threats, strengths and weaknesses were collected from the expert community based on an open questionnaire and interviews using the grand theory method. Then, using the Shannon entropy technique, weighting and ranking have been done. After ranking, 18 opportunities, 13 threats, 15 strengths, and 14 weaknesses were identified. Then, using the quantitative matrix of strategic planning, the indicators were scored and weighted. The total score of the internal factors was 2.469 and the total of the external factors was 2.316, which was drawn on the matrix, and Aggressive strategy was chosen to formulate strategies for the use of artificial intelligence in the aviation industry and air accidents. Therefore, the strategy was presented with an aggressive approach.