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.