AI in Research: Smarter Strategies for Literature Reviews
Year: 2026
Type: other
Abstract: This workshop examines how artificial intelligence (AI) tools can support the literature review process in academic research. Participants will explore how tools such as ChatGPT, Scite, and ScopusAI can assist with topic exploration, research question refinement, identifying key themes, summarizing sources, and generating synthesis. The session will emphasize how AI can help with organizing citations and structuring arguments, while underscoring that critical thinking and scholarly judgment remain essential. Attention will also be given to the limitations of AI, including hallucination risks, lack of access to paywalled content, and outdated training data. By comparing AI-generated outputs with results from academic databases, participants will develop strategies for evaluating and responsibly integrating AI into the research process. Learning Objectives By the end of this workshop, participants will be able to: Apply AI tools to support topic exploration, research question refinement, and identification of key themes. Compare and contrast AI-generated outputs with results from academic databases to assess credibility, accuracy, and comprehensiveness. Evaluate the affordances and limitations of AI tools in relation to the literature review process, including issues of hallucination, access restrictions, and outdated data. Develop strategies for integrating AI responsibly into citation management, synthesis, and argumentation while maintaining critical engagement with scholarly sources.
DOI: 10.11575/prism/51024
Authors: Chiang, Bronte, James, Kathleen
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7125254607