International Journal of Science, Engineering and TechnologyAuthors: Sateesh Kumar Beepala
Abstract: Artificial intelligence (AI) is rapidly transforming higher education (HE) and research and development (R&D), enabling individualized learning, automating administrative procedures, and speeding up research workflows from literature discovery to data analytics. This review summarizes recent empirical and review literature (2019-2025), identifies key opportunities (adaptive learning, intelligent tutoring, research assistance, administrative automation), and highlights major challenges (academic integrity, bias and fairness, data privacy, governance, workforce readiness). We suggest a framework for responsible AI adoption that strikes a balance between educational objectives, technical capabilities, and ethical precautions, as well as research priorities and policy recommendations for institutions and donors. Finally, the article provides realistic implementation instructions and assessment criteria to assist universities and research institutions in securely and effectively integrating AI.
DOI: http://doi.org/10.5281/zenodo.17669403
