The Role of Artificial Intelligence in Transforming Multidisciplinary Research and Innovation

Abstract

Artificial Intelligence is no longer only a technological advancement, but it is becoming a new language of research collaboration. In a world facing complex problems such as climate change, pandemics, sustainable development, and rapid scientific change, no single discipline can provide complete solutions. This study examines the role of Artificial Intelligence in transforming multidisciplinary research and innovation. The paper is conceptual in nature and is based on secondary sources which includes research papers, systematic reviews, bibliometric studies, and scholarly literature. It analyses AI as both an analytical tool and a structural enabler. As an analytical tool, AI supports data analysis, pattern recognition, literature synthesis, hypothesis generation, and knowledge integration. As a structural enabler, it improves communication, team coordination, knowledge sharing, and cross-disciplinary collaboration. The study also identifies the key conditions under which AI integration strengthens research outcomes, including technological readiness, data infrastructure, institutional support, human capital, ethical governance, task-technology fit, and leadership culture. The paper concludes that AI cannot replace human expertise. Its real value lies in supporting researchers, connecting disciplines, and enabling responsible innovation through meaningful human–AI collaboration.