• Dr. Supriya Rai
• Munipalli Gayatri Sri Divya
• Diya Agarwal
• Rakshith Raagavindra Balaji
• Shrishti Jaiswal

Artificial Intelligence (AI) is transforming research by enabling more advanced, efficient, and innovative methodologies across various disciplines. This paper explores AI's impact on interdisciplinary research, which integrates fields such as social sciences, engineering, healthcare, and economics. By leveraging AI-driven data analysis, predictive modeling, and automation, researchers can generate new insights, optimize workflows, and address global challenges more effectively. The study examines how intelligent systems, enhanced collaboration, and adaptive learning can accelerate discoveries. Additionally, it highlights the importance of transparency in AI algorithms, ethical considerations, and the evolving role of human researchers in an AI-powered research landscape. The primary objective is to provide a comprehensive understanding of AI’s role in shaping the next phase of interdisciplinary research while fostering innovation. This research investigates how AI is revolutionizing interdisciplinary studies, where collaboration between diverse fields is essential for solving complex global issues. The study aims to assess AI’s contributions to research methodologies by streamlining data processing, enabling predictive analytics, and fostering synergies among disciplines such as economics, engineering, healthcare, and environmental science. AI's ability to handle large datasets, automate analyses, and generate actionable insights is reshaping how experts across domains collaborate and innovate. The methodology includes an in-depth review of AI-driven research strategies and case studies illustrating how AI has accelerated discoveries, optimized research workflows, and facilitated cross-disciplinary cooperation. Findings suggest that AI enables a deeper understanding of interconnected systems while expediting research processes. By integrating AI tools, researchers can model intricate scenarios, test hypotheses rapidly, and explore multidisciplinary solutions that would otherwise be difficult to achieve manually. However, the study also addresses critical challenges, including algorithmic bias, ethical dilemmas, and the need for greater transparency in AI applications. These concerns emphasize the importance of maintaining ethical standards and human oversight in AI-driven research. They also raise significant questions about accountability and responsibility when implementing AI in research. In summary, while AI offers substantial benefits for advancing interdisciplinary research through innovation and improved outcomes, its responsible use is crucial. This paper advocates for establishing ethical frameworks to ensure AI enhances human creativity and critical thinking rather than replacing them. AI’s role in research extends beyond improving methodologies—it serves as a fundamental tool in collaborative, data-driven approaches to solving global challenges.

Artificial Intelligence (AI), Interdisciplinary Research, Predictive Modelling, Automation, Ethical AI, Data Analysis, Collaboration.

"Impact of AI on Medical Field", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 3, page no.i27-i34, March-2025, Available :http://www.jetir.org/papers/JETIR2503804.pdf

"Impact of AI on Medical Field", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 3, page no. ppi27-i34, March-2025, Available at : http://www.jetir.org/papers/JETIR2503804.pdf