The reverse of artificial intelligence in the treatment of soul pains.

Challenges of current practice

Authors

  • Marco Máximo Balzarini Universidad Nacional de Córdoba

DOI:

https://doi.org/10.17533/udea.affs.v22n43a03

Keywords:

Artificial intelligence, Cognitive sciences, Physic sciences, Psychoanalysis

Abstract

Abstract

The aim of this paper is to problematize the fact that artificial intelligence has landed in the operational field of psychic phenomena and the body and has unquestionably installed itself. Our hypothesis is that AI exerts a dominance in language practices because of the silent action of the idea that scientific objectivity is tied to it. First, there are six problems that arise from the use of AI technology. Secondly, the relationship between the science of physics and psychoanalysis is demonstrated in order to articulate the way in which both disciplines establish a neopositivist logic that constitutes the reverse of the positivist logic on which AI is based. Our question is: in what way does neopositivist logic demonstrate psychoanalysis as a reverse practice of artificial intelligence? The analysis of the problems found results in certain conclusions that are offered as illuminations so that the agents of disciplines related to the treatment of pain of the soul, as users and consumers of this powerful technological tool, have the possibility of reflecting when implementing it in their professional practice and are aware of some consequences of certain modes of its use. It is concluded that the six problems analyzed are linked by a double paradox: first paradox, an answer is not in AI on the condition that it is in it; second paradox, AI contributes to the treatment of human phenomena, while threatening them by rejecting the things of love and constantly plugging the hole in the symbolic.

 

 

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Published

2025-08-20

How to Cite

Balzarini, M. M. (2025). The reverse of artificial intelligence in the treatment of soul pains.: Challenges of current practice. Affectio Societatis, 22(43). https://doi.org/10.17533/udea.affs.v22n43a03