Artificial Intelligence and Research Literacy among University Students: Opportunities, Risks, and Library Interventions
Abstract
The academic landscape is changing as a result of artificial intelligence (AI), which has a big impact on how university students obtain, assess, and create information. This essay explores the connection between research literacy and AI, stressing the importance of academic libraries in promoting responsible use of AI tools as well as the associated risks and potential. Increased information discovery, individualised learning support, increased research efficiency, and new opportunities for creativity and interdisciplinary inquiry are just a few advantages of AI technologies, such as generative text models, intelligent search systems, and automated summarisation tools. These resources can assist students in better managing their academic obligations and lower obstacles to intricate research procedures. But there are also a lot of difficulties with incorporating AI into academic work. Misinformation and fake content, weakened critical thinking abilities, challenges with academic integrity, ingrained algorithmic bias, and data privacy are among the risks. Students' capacity to critically assess sources and interact extensively with academic materials may be compromised by an over-reliance on AI-generated outputs. As a result, research literacy in the digital age needs to be expanded to include AI literacy, or an awareness of the limitations, ethical implications, and workings of AI systems. According to the paper, university libraries are in a unique position to deal with these issues. Libraries may promote research and AI literacy through focused workshops, curriculum cooperation, AI tool evaluation guides, ethical policy formulation, and the incorporation of critical evaluation frameworks. Universities can guarantee that AI becomes a tool for intellectual empowerment rather than academic dependency by implementing proactive interventions, giving students the tools they need to responsibly and successfully navigate an increasingly AI-mediated research environment.
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