IntroductionColloquially, the term "artificial intelligence" (AI) is used to describe machines/computers that mimic "cognitive" functions which humans associate with other human minds, such as "learning" and "problem solving". Artificial intelligence can be classified into three different types of systems: analytical, human-inspired, and humanized artificial intelligence. Analytical AI has only characteristics consistent with cognitive intelligence; generating cognitive representation of the world and using learning based on past experience to inform future decisions. Human-inspired AI has elements from cognitive and emotional intelligence; understanding human emotions, in addition to cognitive elements, and considering them in their decision making. Humanized AI shows characteristics of all types of competencies (i.e., cognitive, emotional, and social intelligence), is able to be self-conscious and is self-aware in interactions with others.
Artificial intelligence was founded as an academic discipline in 1956. For most of its history, AI research has been divided into subfields based on technical considerations, such as particular goals (e.g., "robotics" or "machine learning"), the use of particular tools (e.g., "logic" or artificial neural networks), or deep philosophical differences. Subfields have also been based on social factors such as particular institutions or the work of particular researchers. This publication focuses on the various applied uses of AI in the field of international business.