Citation :

Shreyansh Gupta, Shlok Dave, Dr. Vishal Shrivastava, Dr. Akhil Pandey, 2026. "Generative AI and Its Application in Research Enrichment" ESP International Journal of Advancements in Science & Technology (ESP-IJAST)  Volume 4, Issue 4: 01-08.

Abstract :

Generative Artificial Intelligence (Generative AI) has rapidly transitioned from an experimental technology into a working companion for researchers across disciplines. Tools built on large language models (LLMs) and related generative architectures can now draft text, summarise literature, suggest hypotheses, generate code, and assist with data interpretation, changing how research is planned, conducted, and communicated. This paper examines how Generative AI is being applied to enrich the research process, drawing on recent academic literature published between 2023 and 2025. It explains the underlying technology in accessible terms, reviews documented use cases in literature review, academic writing, data analysis, and peer review, and discusses the advantages these tools bring in terms of speed, accessibility, and idea generation. The paper also examines the ethical and practical challenges associated with this shift, including hallucinated citations, algorithmic bias, authorship ambiguity, and the risk of eroding critical thinking among early-career researchers. Based on a secondary review of recent literature, the paper argues that Generative AI functions best as an assistive layer rather than an autonomous researcher, and that its long-term value depends on how responsibly institutions and individuals govern its use. The paper concludes with recommendations for future research and responsible adoption in academic settings, particularly in resource-constrained institutions.

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Keywords :

Generative Artificial Intelligence, Large Language Models, Natural Language Processing, Academic Research, Research Enrichment, ChatGPT, Machine Learning, Scholarly Writing, Literature Review Automation, Research Ethics, AI in Higher Education, Peer Review, Hallucination, Academic Integrity, Smart Research Tools