AI Library Tools for Research

Boolean? Boolean? Anyone?

Traditional library research requires a specialized database searching skill set often limited to librarians and professional researchers. New integrations of artificial intelligence (AI) into library databases, however, has made the discovery and use of resources easier, faster, and more reliable than traditional methods like Boolean search operators, limiters, subject headings, or citation mining.

In this session, Librarians Shannon Pritting and Ashley Hoffman will demonstrate some of the latest AI-enhanced features of library databases, from tools that assist in the discovery of resources to tools that break down, analyze, and summarize key findings. This session will highlight AI tools in diverse subject databases, including:

• JSTOR
• Scopus
• Statista
• LibKey MCP Integration

At the end of this session, participants will be able to:

• Compare AI integration models for discovery and analysis.
• Identify key features of library database AI integrations.
• Apply AI tool techniques to their own research.