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@article{175840,
        author = {Dr Ashokkumar J and Nathiya T},
        title = {Generative Artificial Intelligence as a Catalyst for Research Transformation: Insights into Creativity and Innovation},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {3998-4004},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=175840},
        abstract = {By encouraging innovation across fields, speeding up discovery, and boosting creativity, generative artificial intelligence, or GenAI, is completely changing the research landscape. This study investigates how GenAI, through automating literature reviews, creating new hypotheses, and facilitating data-driven insights, revolutionizes conventional research procedures. Incorporating AI-powered technologies into research procedures not only increases productivity but also democratizes knowledge generation by reducing barriers to entry. This study also looks at the difficulties, ethical issues, and possible biases in AI-driven research. Through case studies and actual data, we demonstrate how GenAI has impacted scientific discoveries, interdisciplinary cooperation, and the development of knowledge production. The results help us understand how AI-driven research approaches can influence academia and industry in the future, ushering in a new era of invention and creativity.},
        keywords = {Generative Artificial Intelligence (GenAI), Creativity, Innovation, Scientific breakthroughs, Knowledge production and Academia and industry.},
        month = {April},
        }