In this "10/10/10" session, Ellen Fil—Librarian, Director of Liaison Programs, and author of an upcoming book on AI in library instruction—demonstrates how to leverage the new AI research tools within JSTOR.
Ellen breaks down the two "buckets" of current library AI tools: those built for broad exploration (like Scopus AI) and those designed for deep document analysis (like JSTOR AI). This demo covers:
Keyword vs. Semantic Search: How to use machine learning to find conceptually related content even when the terminology differs.
In-Document Assistance: Using the AI chatbot to summarize complex texts, identify key arguments, and surface related scholarly topics.
Opt-out Awareness: Why some journals (like Shakespeare Quarterly) choose not to enable AI features.
Citation & Ethics: A brief discussion on the evolving standards for citing AI-generated insights in academia.