ARTIFICIAL INTELLIGENCE: EXAMINATION OF HUMAN AND MACHINE INTELLIGENCE AND FUTURE PERSPECTIVES

Abstract

This article aims to thoroughly analyze the definitions, measurements, and applications of artificial intelligence (AI) and human intelligence, highlighting the similarities and differences between these two types of intelligence. While human intelligence encompasses a wide range of cognitive abilities, artificial intelligence is often optimized for specific tasks. The concept of Artificial General Intelligence (AGI) is crucial for assessing how closely AI approximates human intelligence. The rapid evolution of AI significantly contributes to fields such as management, education, and research, while also necessitating consideration of its ethical, economic, and environmental dimensions. The article employs metaphorical language to ensure an in-depth understanding of the topics and to maintain the reader's interest. Furthermore, it examines the relationship between AI and big data, natural language processing (NLP) techniques, and the collaboration between AI and human expertise. In this context, the ethical use of AI and its contribution to scientific advancement through interdisciplinary collaboration are emphasized.