• BANDARI RAMUDU

Artificial Intelligence (AI) has initiated a fundamental shift in scholarly communication, moving academic writing from a purely manual endeavor to a guided, collaborative process. This article evaluates the integration of AI-powered tools and techniques in research paper development, focusing on their impact on linguistic precision, structural coherence, and overall researcher productivity. Drawing on recent empirical evidence from English as a Foreign Language (EFL) contexts and scientific reporting, the study analyzes the efficacy of machine translation, multi-agent systems, and large language models (LLMs). The paper identifies key benefits, such as accelerated drafting and improved accessibility for non-native speakers, while critically addressing systemic risks including over-reliance, ethical ambiguity, and the limitations of current plagiarism detection. We argue that the transition to "Augmented Research Writing" requires academic-led guidelines and robust prompt engineering literacy to safeguard intellectual integrity.

Artificial Intelligence, Research Writing, Scholarly Communication, Natural Language Processing, Prompt Engineering, Academic Integrity, Machine Translation.

"THE ALGORITHMIC SCRIBE: EVALUATING AI-POWERED TOOLS AND TECHNIQUES FOR ENHANCED RESEARCH WRITING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 2, page no.390-393, February-2026, Available :http://www.jetir.org/papers/JETIRHJ06075.pdf

"THE ALGORITHMIC SCRIBE: EVALUATING AI-POWERED TOOLS AND TECHNIQUES FOR ENHANCED RESEARCH WRITING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 2, page no. pp390-393, February-2026, Available at : http://www.jetir.org/papers/JETIRHJ06075.pdf