THE START OF ARTIFICIAL INTELLIGENCE TEXT GENERATORS AND THE END OF LEGAL DOGMA

A STUDY ON THE NECESSITY OF EPISTEMOLOGICAL RESTRUCTURING OF THE LEGAL SCIENCES

Abstract

Faced with the various technological changes that have taken place since the first generative artificial intelligence text model called Chat-GPT was published, the scientific academic scene has changed drastically, requiring its members to delve into quite different concepts. The same is true in the legal sciences. These perceptions are accentuated by the constant updating of artificial intelligence usage across networks. In this regard, with the object of analysis being the challenges of generative artificial intelligence for the epistemological understanding of the legal sciences, it was set out to investigate the hybridization promoted by the mentioned technology in an attempt to identify the need to reconstruct the epistemological limits of the legal sciences, in the sense that the dynamic between being and object can be profoundly altered towards a new kind of interlocution in which the object is decoded in a mediating instrument of language that is strange to the process of formulating the phenomenon. The debate needs to be centered on the more complex layers of the problem since starting from the opposite of the proposal elucidated in this work leads to the fading of intersectionality between the environment and the object capable of shaping the object itself and, therefore, hides the displacement of the subject itself from reality. This is because the debate in the legal sciences has been embodied in the semantic dogmatism of norms, paralyzing and overshadowing legal reflection as a social phenomenon. The main assumption is that there is a profound need to rethink the legal sciences in order to relocate the epistemological limits at conceptual, theoretical, and methodological levels since it starts to run the risk of undue assimilation of legal-scientific reality in the name of maintaining a supposed dogmatism. To deal with the topic, the methodology proposed is an observational case study based on data collection, using Boolean research as a gathering procedure in a variety of samples for a comparative analysis with a time frame starting in 2023, respecting the Chat-GPT publicization milestone. It is hoped that, with this methodology, it will be possible to identify the most varied studies published since then, which are based on a literature review as a methodological basis so that, from there, the results can be identified to confront the hypothesis raised.