• Dr. P. RajiReddy

The integration of Artificial Intelligence (AI) into research methodology has emerged as a transformative development in contemporary academic and scientific inquiry. AI-driven tools and techniques are increasingly being adopted across disciplines to enhance efficiency, accuracy, and analytical depth throughout the research process. This paper examines the role of Artificial Intelligence in research methodology with a specific focus on the opportunities and challenges associated with its application. The study is conceptual and analytical in nature, relying exclusively on secondary data obtained from scholarly journals, books, conference proceedings, and credible academic sources. A qualitative content analysis approach is employed to synthesize existing literature and examine the integration of AI across various stages of research, including literature review, research design, data collection, data preprocessing, analysis, interpretation, visualization, reporting, and ethical oversight. The study highlights that Artificial Intelligence significantly improves research efficiency by automating repetitive tasks, reducing human error and bias, handling large and complex datasets, and enabling advanced data analysis and predictive modeling. AI-powered tools also enhance research design, data visualization, reproducibility, and academic reporting, thereby strengthening methodological rigor and research quality. However, the paper also identifies critical challenges associated with AI integration, such as data quality issues, algorithmic bias, lack of transparency, reproducibility concerns, technical complexity, and resource constraints. The paper concludes that while Artificial Intelligence offers substantial opportunities to advance research methodology, its effective utilization requires a balanced and responsible approach. AI should be used as a complementary tool alongside human expertise, ethical frameworks, and sound scientific principles to ensure valid, transparent, and impactful research outcomes.

Artificial Intelligence, Research Methodology, Machine Learning, Data Analysis, Ethical Challenges, Research Innovation

"INTEGRATING ARTIFICIAL INTELLIGENCE INTO RESEARCH METHODOLOGY: OPPORTUNITIES AND CHALLENGES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 2, page no.201-211, February-2026, Available :http://www.jetir.org/papers/JETIRHJ06040.pdf

"INTEGRATING ARTIFICIAL INTELLIGENCE INTO RESEARCH METHODOLOGY: OPPORTUNITIES AND CHALLENGES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 2, page no. pp201-211, February-2026, Available at : http://www.jetir.org/papers/JETIRHJ06040.pdf