Hybrid Intelligence is a Highly Converged Model of Human-Computer Interaction
Elena B. Ivushkina, Nelly I. Morozova · Science almanac of Black sea region countries · 2025
Introduction. The relevance of the study is explained by the fact that in the age of rapid development of science and technology related to the development and application of the concept of machine learning, operating with big data, artificial intelligence (AI) has achieved the ability to surpass people in each separate area. The development of hybrid intelligence faces cognitive differences, the digital gap between man and machine, and other challenges. Strengthening the interaction between cognition and perception can be the key to overcoming weaknesses. The purpose of the article is to conduct research on the development of a model of human-computer interaction, to study a new model of this process.Materials and Methods. The work uses analysis and synthesis, a comparative method. The architecture of hybrid intelligence is built on the basis of a combination of the idea of human participation in the process and the confrontation between man and machine. The method of comparative and systematic analysis of similarities and differences between human intelligence, AI, and AI systems is also used.Results. There are three main cognitive perspectives in current AI research: technological, human, and human-machine cooperation. Modern research mainly focuses on the theoretical elaboration and application of mixed intelligence and the construction of a hybrid intelligent architecture model. The confrontation between man and machine cannot be understood simply as competition between man and machine, and its ultimate goal is still to achieve a harmonious stable state of symbiosis between man and machine. It is emphasized that the interaction of man and computer involves the participation of man and machine, while the degree and status of this participation differ. “Interaction” reflects two-way information transmission and is machine-driven, while “cooperation” reflects human-dominated shared decision-making.Discussion and Conclusion. Currently, a new round of scientific and technological revolution and industrial transformation is taking place. Big data applications and innovations in theoretical algorithms are driving intelligence. Technologies such as 5G and cloud intelligence take the development of distributed artificial intelligence to the next level allowing data to generate knowledge through cloud learning. Thus, thanks to the cooperation of machine intelligence and human mind, the merger of man and machine became the ultimate goal of the intelligence development. Human mind and machine intelligence adapt to each other and realize a common evolution and optimization of intelligence. Hybrid intelligence is a highly converged combination of rationality and sensitivity, intuition and logic, memory and data storage, as well as calculations, which is the future direction of the intelligent technologies’ development.