Artificial Intelligence and the Transdisciplinary Human Mediation of HPTD-M

This article studies the scope of Artificial Intelligence (AI) through the HPTD-M theory, i.e., the Holopraxis Transdisicplinary Management. It aims at collaborating to the debate on the limits of AI, including ChatGPT simulations, comparing the four types of intelligence in the HPTD-M Theory, namely empirical, emotional, rational, and intuitive, with the nine types of Gardner´s multiple intelligences theory (MI Theory). The types of intelligence are also compared with psychosomatics, the emotional shadow of the Western culture, the levels of the collective unconscious, and soft skills. The concept of mediating manager has an essential role in showing the limits of AI, which is an exceptional instrument for KNOWING but not UNDERSTANDING. An example of adequate use of AI through ChatGPT is demonstrated through a discussion on Plato's four virtues. A table considering the HPTD-M quaternary structure of intelligence shows how there cannot be consciousness awakening in AI, since it is limited to rationality. Besides, the HPTD-M’s three types of logic, i.e., Binary, Feedback, and Included Third, are another way to demonstrate that AI is based merely on the Binary logic. Management tools need to be used a priori with awareness of the limits of their applications. AI is no different, a disruptive technology that every professional will have to learn to deal with, like the personal computer in the late 1980s, an excellent rational tool, but not an empirical, emotional, or intuitive resource for problem solving. The AI binary logic does not apply to the complexity of human phenomena. Furthermore, AI can function as a consultant or assistant in terms of an efficient source of information, but not as an effective manager or decision maker. Roughly, through the managerial theory, effectiveness is to do the right thing, which is more than efficiency (to do things right). Then, in this author´s opinion constructed through simulations in the ChatGPT to obtain efficient results, the questions to AI need to be objective and precise in the concepts. There cannot be complex issues involving human phenomena: This is for the effective human decision maker, not for AI to answer since there can’t be consciousness awakening in AI.