The authors make an analysis of the International Civil Aviation Organization documents on applications of new technology for minimizing risk and improving safety in the aviation system. ICAO defined new approaches for effectiveness in aviation – application of artificial intelligence (AI) models for the organization of collaborative decision making (CDM) by all aviation specialists (pilots, air traffic controllers, engineers, etc.) using CDM models based on general information on the flight. The AI is presented in models of decision making (DM) in air navigation system (ANS) as expert systems. The effectiveness of ANS operators' decisions depends on the rational use of intelligent automation at all stages of aircraft flight in the form of intelligent decision support systems (IDSS), with hybrid intelligence (natural intelligence), and AI in DM. Models may be used in the education of aviation specialists and in IDSSs in real flight, especially in emergencies. The chapter presents some examples of CDM models in an emergency “engine failure in flight.”

The authors present a new approach to decision-making to ensure the proper collaboration of different personnel. Models are used in intelligent integrated decision support systems, especially for actions in emergencies. Behavioral deterministic models are used for synchronization actions of all operators, to support and timely predicting of operators' actions in an emergency. To determine the quantitative characteristics of risk levels, models for collaborative decision making (CDM) under uncertainty by the operators (pilots, air traffic controllers, flight/dispatch), and other invited specialists, have been developed. The decision-making modeling of a group of operators in case of an emergency situation such as “pilot incapacitation” was presented. The methodological basis for CDM in certainty is network planning, in conditions of Stochastic uncertainty – is a decision tree, in conditions of non-stochastic uncertainty – is a matrix of decisions, and outcomes are made this using the expert judgment method for obtaining quantity estimations.