CHALLENGES IN THE HUMANIZATION PROCESSES OF ARTIFICIAL INTELLIGENCE

This essay addresses the issue of pedagogical, didactic, ethical and technical challenges in the humanization processes of artificial intelligence (AI). Its scientific relevance lies in making the academic community understand that nothing that can be created by human beings can overcome the innate human capacity that is being developed and improved through social relationships. Its social relevance is shown in the fact that it explains to the population that the technical-scientific advances achieved by AI aim to improve the existential condition in the midst of everyday procedures, not to replace man as a unique being. Even if progress can be made in the creation of automated data and commands, aI will still fall far short of the capacity of the human brain. When it comes to analyses, these are more complex to carry out because there is a need to carry out comparisons through mnemonic search comparing other moments in which the individual presented different mood states. To do this, it is necessary to remember names, places, situations, events, a series of thoughts that are triggered in an interconnected way, and may or may not be verbalized, according to the situational analysis. The simplicity with which the human brain processes highly complex things and situations is something that may still take a long time for AI to be able to reproduce, autonomously. However, assuming that this entire condition can be achieved by AI, what criteria will be adopted so that this is not used as a means of manipulation by companies that have control over it. Believing that a machine will take control of society in such a way that it will manipulate it is a paranoid delusion; however, operators may well misuse information and means of analysis and interpretation, as well as interaction with humans.