Editorial
Abstrakti
Current paradigms of artificial intelligence (AI) are poorly theorized in the context of society. All the four main paradigms, 1) modeling neural networks, 2) modeling genetics, 3) modeling genealogy, and 4) modeling physical phenomena, are based on the philosophy of natural sciences, which do not consider societal impact and dynamics of the world as part of the formula. Natural science focuses on investigating closed systems; therefore, all the AI algorithms must be strictly framed. Thus, the operating environment for artificial intelligence algorithms is limited and cannot be utilized in the natural environment of our society. There is no general artificial intelligence and no generally accepted data, methodology, or AI models, which could be utilized to analyze the dynamic of our society.
