From artificial intelligence to artificial mind: A paradigm shift

Abstract

Considering the development of artificial intelligence (AI) in various fields, especially the closeness of its function to the human brain in terms of perception and the understanding of sensory and emotional concepts, it can be concluded that this concept is cognitively evolving toward an artificial mind (AM). This article introduces the concept of AM as a more accurate interpretation of the future of AI. It explores the distinction between intelligence and mind, highlighting the holistic nature of the mind, which includes cognitive, psychological, and emotional dimensions. Various types of intelligence, from rational to emotional, are categorized to emphasize their role in shaping human abilities. The study evaluates the human mind, focusing on cognitive functions, logical thinking, emotional understanding, learning, and creativity. It encourages AI systems to understand contextual, emotional, and subjective aspects and aligns AI with human intelligence through advanced perception and emotional capabilities. The shift from AI to AM has significant implications, transforming work, education, and human–machine collaboration, and promises a future where AI systems integrate advanced perceptual and emotional functions. This narrative guides the conversation around AI terminology, emphasizing the convergence of artificial and human intelligence and acknowledging the social implications. Therefore, the term <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">AM</i> appears to be a more appropriate term than <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">AI</i>, symbolizing the transformative technological change and its multifaceted impact on society.

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