Исследовательский синтез «человек-машина»: эпистемологические и феноменологические аспекты использования систем искусственного интеллекта в науке

Человек. 2025. Т. 36. № 5. С. 99–120.

Ignatev A., Ugleva A. V.

The article focuses on the influence of artificial intelligence (AI) systems on the transformation of research activity and the formation of a new type of human-machine interaction - managed research synthesis. The main point of attention is the identification of difficulties and risks arising in the implementation of AI systems in research projects, as well as the positive effects. The authors propose to consider research synthesis as an optimal way of interaction, in which the leading role belongs to a human being, who retains the ability to form and hold the research goals, as well as to take responsibility for the results obtained. The concepts of subjective reality and phenomenal experience are discussed, emphasizing the impossibility of replacing these qualities in researchers by the computational capabilities of machines. An important direction of further research is the development of effective and safe practices of interaction with AI, aimed at optimizing human cognitive activity and expanding its capabilities in the study of a complex and multidimensional world.

Keywords: научно-исследовательская деятельность, subjective reality, субъективная реальность, research activity, research synthesis, Human-machine interaction, artificial intelligence, Искусственный интеллект, phenomenal experience, исследовательский синтез, феноменальный опыт, взаимодействие "человек-машина"

Publication based on the results of: Human in the Digital Environment: Inclusive and Adaptive Strategies of Culture, Biopolitics and Biosemiotics (2025)