Introduction
In the expanding science of artificial intelligence, the capacity to find patterns undetectable to the human mind provides an interesting frontier of investigation [1]. With an ever-increasing flood of data in our digital era, AI’s ability to handle and analyse large datasets might reveal insights into complicated phenomena that would otherwise be elusive [2]. One area where AI’s pattern recognition capabilities might be particularly transformational is comprehending human behaviour—a world that has long interested and confused psychologists and sociologists [3]. And Human behaviour, which is complicated and influenced by a wide range of sociocultural, economic, and psychological aspects, has traditionally been investigated using a number of approaches, ranging from observational studies to rigorous statistical analysis. Nonetheless, despite substantial advances in these domains, the unpredictability and dynamism of human behaviour can transcend easy classification or comprehension [4]. Human behaviour’s hidden patterns are frequently so complex and multidimensional that ordinary analytical tools fail to capture them. As we go through the maze of human behaviour, AI has the ability to act as our guide, deciphering patterns beyond the grasp of human intellect and traditional approaches [5]. Whether it’s anticipating societal trends, evaluating consumer behaviour, or investigating the underlying causes of political mood, AI may provide a unique perspective on the complex tapestry of human experience. The use of AI to comprehend human behaviour presents significant obstacles, raising compelling concerns about practicality, interpretability, and ethics. Nonetheless, the potential impact is huge. By revealing hidden patterns, anthropologists may get a deeper knowledge of civilizations, influence policy, stimulate innovation, and address current concerns. This inquiry is thus more than just a theoretical endeavour; it is a step toward realizing latent potential and building a more understandable world.