Anthropological risks of artificial intelligence and GPT neural networks

The rapid increase in the role of science, technology, and engineering in the modern world, including the development of artificial intelligence and GPT neural networks, has contributed to the actualization of research into both these areas and the new opportunities and risks they generate. The purpose of this study is to identify the impact of modern technologies, specifically artificial intelligence and fourth- and fifth-generation GPT neural networks, on human physical and mental health, spiritual qualities, and their implications for new global risks, primarily anthropological ones. The article emphasizes that a powerful techno-anthropological shift is being observed worldwide, the consequences of which are impossible to predict. The digital revolution has given rise to a new goal – the “upgrade” of humanity. It is no coincidence that anthropological risks have become a problem-oriented research area. The scientific novelty of this research lies in its disclosure of the main objective and subjective factors that influence the transformation of the human personality and its conversion into a “post-human.” The study found that the development of artificial intelligence systems and related GPT neural networks creates the prerequisites for the targeted formation of personality by network platforms, which poses the threat of unpredictable consequences. It concludes that there is a need to develop social mechanisms and applied pathways aimed at overcoming the anthropological crisis.

Authors

Institutions

Publication Details

Journal
Manuscript
Published
2025-02-04
DOI
https://doi.org/10.30853/mns20250017
Primary Topic
Digital Transformation in Law
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Anthropological risks of artificial intelligence and GPT neural networks

Olga Skorodumova, Liliya Fedorovna Matronina
Manuscript
Digital Transformation in Law
article

Anthropological risks of artificial intelligence and GPT neural networks

Olga Skorodumova, Liliya Fedorovna Matronina
article en

Abstract

The rapid increase in the role of science, technology, and engineering in the modern world, including the development of artificial intelligence and GPT neural networks, has contributed to the actualization of research into both these areas and the new opportunities and risks they generate. The purpose of this study is to identify the impact of modern technologies, specifically artificial intelligence and fourth- and fifth-generation GPT neural networks, on human physical and mental health, spiritual qualities, and their implications for new global risks, primarily anthropological ones. The article emphasizes that a powerful techno-anthropological shift is being observed worldwide, the consequences of which are impossible to predict. The digital revolution has given rise to a new goal – the “upgrade” of humanity. It is no coincidence that anthropological risks have become a problem-oriented research area. The scientific novelty of this research lies in its disclosure of the main objective and subjective factors that influence the transformation of the human personality and its conversion into a “post-human.” The study found that the development of artificial intelligence systems and related GPT neural networks creates the prerequisites for the targeted formation of personality by network platforms, which poses the threat of unpredictable consequences. It concludes that there is a need to develop social mechanisms and applied pathways aimed at overcoming the anthropological crisis.

ManuscriptVol. 18(1)
Russian State Social University (RU)
Openalex Percentile: Top 96%
Digital Transformation in Law
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.