AI-powered research tools have become increasingly important in academic research, offering other ways of doing research beside the traditional library databases. Tools like Perplexity, Scite, Elicit, Keenious, Consensus, ResearchRabbit, and OpenAlex provide various features, including citation analysis, literature discovery, and evidence-based insights. While these tools offer significant advantages in streamlining tasks such as literature reviews, identifying relevant papers, and tracking citation networks, they also have limitations, such as coverage gaps, reliance on metadata, and the need for validation of the sources.
Quotations are taken from the Ithaka S+R Generative AI Product Tracker.
Charles Gallagher and Kevin Gunn, librarians at The Catholic University of America Libraries, gave this workshop to their colleagues at The Washington Research Library Consortium Annual Meeting on May 22, 2024.
As with any tool used in digital scholarship, you should spend some time researching the best tool to answer your research questions. Two excellent resources include:
Librarians at the State University of New York at Oswego have created a rubric for evaluating AI research tools.
Caico, Marissa; Harris, Laura; O'Shea, Sarah; Mitchell, Emily. 2024. Evaluative Information Literacy Rubric for AI Tools.