Published Paper Details:

Artificial Intelligence (AI) is exerting a transformative influence on the discipline of mathematics, reshaping both theoretical inquiry and practical engagement. In mathematical research, AI systems particularly those employing machine learning, symbolic computation, and automated reasoning are facilitating novel approaches to theorem discovery, proof verification, and conjecture generation. These tools are augmenting human intuition and expanding the frontiers of mathematical exploration by uncovering patterns and relationships that might otherwise remain obscured. In the educational domain, AI technologies are enabling more personalized and adaptive learning environments. Intelligent tutoring systems and algorithm-driven platforms are redefining mathematics pedagogy by offering tailored instruction, real-time diagnostics, and scalable feedback mechanisms. Such innovations hold promise for improving learning outcomes and democratizing access to mathematical knowledge. AI's impact is equally evident in applied mathematics, where data-driven models and optimization techniques are being integrated into fields such as engineering, economics, and the natural sciences. These applications demonstrate AI's capacity to enhance the modeling, analysis, and solution of complex real-world problems. This paper presents a qualitative synthesis of current literature, examining the multifaceted roles AI plays across mathematical subfields. It also engages with the philosophical and ethical considerations emerging from this integration particularly the implications for mathematical rigor, creativity, and epistemology. By surveying contemporary developments, this study aims to provide a nuanced understanding of how AI is reshaping the nature and practice of mathematics in the modern era.