• Dr. Lode Vijay Bhasker

Artificial intelligence (AI) is transforming academic writing by streamlining research processes, improving content quality, and supporting ethical standards. This paper presents a comprehensive framework for integrating AI across the research lifecycle, from idea development and literature review to data analysis and publication. We compare leading AI tools, discuss their strengths and limitations, and explore real-world applications. Ethical challenges, including data privacy and algorithmic bias, are examined alongside emerging trends such as explainable AI and augmented analytics. By adopting AI thoughtfully, researchers can enhance productivity, foster interdisciplinary collaboration, and uphold the integrity of scholarly work.

ARTIFICIAL INTELLIGENCE IN ACADEMIC WRITING: A COMPREHENSIVE FRAMEWORK FOR RESEARCH ADVANCEMENT

"ARTIFICIAL INTELLIGENCE IN ACADEMIC WRITING: A COMPREHENSIVE FRAMEWORK FOR RESEARCH ADVANCEMENT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 2, page no.155-157, February-2026, Available :http://www.jetir.org/papers/JETIRHJ06032.pdf

"ARTIFICIAL INTELLIGENCE IN ACADEMIC WRITING: A COMPREHENSIVE FRAMEWORK FOR RESEARCH ADVANCEMENT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 2, page no. pp155-157, February-2026, Available at : http://www.jetir.org/papers/JETIRHJ06032.pdf