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EMOTIONAL INTELLIGENCE AND ARTIFICIAL INTELLIGENCE: PHILOSOPHICAL REFLECTION ON SUBJECTIVITY IN COGNITIVE PROCESSES
The article explores the current problems of the relationship between emotional and artificial intelligence in the context of philosophical reflection on subjectivity and cognitive processes, and also analyzes the impact of new technologies on the idea of cognition and the subject. The relevance of the study is due to the growing role of artificial intelligence in cognitive processes, the need to understand changes in the concept of subjectivity under the influence of technological transformations, and the need for a philosophical analysis of the ethical aspects of human interaction with AI. The goal is to scientifically substantiate the interaction of emotional intelligence and artificial intelligence in the context of philosophical reflection on subjectivity in cognitive processes. The study was based on a content analysis of scientific publications in the field of emotional and artificial intelligence, a philosophical analysis of the concepts of subjectivity with an emphasis on ethical reflection and critical thinking, a comparative analysis of approaches to the integration of emotional and artificial intelligence into cognitive processes, a case study method for studying examples of the use of AI in business processes, as well as for studying the mechanisms of integrating artificial intelligence into emotional intelligence processes and their impact on customer interaction. The results of the study demonstrate that the examples of the companies Gong and BenchSci illustrate progress in the application of artificial intelligence (AI) to model emotional aspects of customer interaction. The use of machine learning (ML) and natural language processing (NLP) technologies not only contributes to the analysis of behavioral data, but also to the adaptation of communication in accordance with the emotional reactions of users. An analysis of the application of AI in business communications indicates its potential to increase the level of emotional intelligence in customer interaction. However, the study focuses on key philosophical aspects: the limits of AI subjectivity, its ability to understand emotions, and the ethics of interaction with people. It has been established that AI is not an autonomous subject of cognition, since its “emotional sensitivity” consists in reproducing algorithmic patterns. At the same time, the ability of AI to simulate emotions and influence customer behavior puts forward the need to form ethical norms and rules to regulate such technologies. Future research should be aimed at studying the deep aspects of the interaction of emotional and artificial intelligence in cognitive processes, analyzing the ethical challenges of introducing AI into the field of emotional intelligence, as well as studying the impact of these technologies on the transformation of ideas about subjectivity and human consciousness.
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