The integration of Artificial Intelligence (AI) tools into academic research is increasingly reshaping the processes of knowledge creation and dissemination. This study investigates the adoption, applications, and impacts of emerging AI tools among researchers across various disciplines. Utilizing a mixed-methods approach, the research combines quantitative survey data from 150+ academics with qualitative insights drawn from semi-structured interviews. The results indicate widespread use of AI-driven platforms such as ChatGPT, AI Essay Writer, Research Gap Finder, AI Paraphraser, Elicit, and AI-enhanced reference management tools – Mendeley, Zotero etc…, primarily supporting literature review, data analysis, and academic writing. Participants report enhancements in research efficiency and quality but also express concerns about ethical challenges including data privacy, academic integrity, and bias. Significant disciplinary differences in AI adoption and perceptions are identified. The study underscores the urgent need for comprehensive institutional guidelines to promote responsible AI integration in research workflows. These findings contribute to the discourse on digital transformation in academia and provide actionable recommendations for researchers and policy-makers to harness AI’s potential while addressing its risks.
Saxena et al. (Thu,) studied this question.