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Volume 4 Issue 2
March-April 2026
| Author(s) | Prof. Preeti Awasthi |
|---|---|
| Country | India |
| Abstract | This article analyzes the impact of Artificial Intelligence (AI) on research in Indian universities through a political science lens. It argues that AI is reshaping not only research methodologies but also the institutional and epistemological foundations of knowledge production. While AI-driven tools enhance data analysis, collaboration, and efficiency, they also raise concerns about epistemic bias, the marginalization of qualitative approaches, and the standardization of academic outputs. The study examines the role of state policies and institutional adoption in promoting AI, highlighting their implications for academic autonomy and research priorities. It further explores challenges related to academic labor, inequality, data governance, and ethical issues such as surveillance and algorithmic bias. The article concludes that AI represents a site of power and contestation, emphasizing the need for a democratic and inclusive framework to govern its integration in Indian higher education. |
| Keywords | Artificial Intelligence; Indian Universities; Political Science; Knowledge Production; Academic Governance; Epistemology; Algorithmic Bias; Higher Education Policy; Research Methodology; Digital Inequality |
| Discipline | Other |
| Published In | Volume 3, Issue 6, November-December 2025 |
| Published On | 2025-12-06 |
| DOI | https://doi.org/10.62127/aijmr.2025.v03i06.1279 |

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