Artificial Intelligence and the Evolution of Knowledge Creation

Artificial Intelligence (AI) is transforming the knowledge creation paradigm. Beyond its technical roots, AI is increasingly engaged in processes that were hitherto the domain of human cognition, such as pattern recognition, hypothesis formation, interpretation, and dissemination. This paper explores the role of AI in transforming epistemological practices in research, education, and innovation. Based on recent literature (2020-2024), this paper synthesizes the interdisciplinary literature to explore the dynamic relationship between human intelligence and artificial intelligence. The results show that AI is accelerating discovery in data-intensive research, facilitating interdisciplinary collaboration, and making knowledge more accessible. However, there are still major concerns about bias, transparency, accountability, and ethics in AI. Instead of displacing human inquiry, AI is transforming it by repositioning researchers as interpreters, contextualizes, and ethicists. This paper contends that future knowledge ecosystems will require hybrid intelligence systems that combine the strengths of computational intelligence with human intelligence and creativity. The evolution of knowledge creation in the intelligent age is not just a technological revolution but a paradigm shift in the way societies produce, validate, and disseminate knowledge.