Recently, several AI-powered library research tools and database enhancements have been developed. Some aim to turn questions into effective databases searches, while giving insight into how effective searching is done. Some summarize key points from published information sources, making them easier to understand and helping to identify relevant sources. These tools can help refine research topics by suggesting related questions, and promote ethical information use by exemplifying attribution of sources.
The Primo system finds articles, e-books, and other materials available in many of the library's research databases. It also serves as the our catalog of materials in our collection. The Research Assistant feature is an AI-powered tool that:
EBSCO's AI Insights tool generates article summaries that highlight 2-5 key points from the article. To view the AI-generated summaries:
See EBSCO's description of AI Insights.
JSTOR's AI research tool embeds AI-enabled features within the JSTOR platform, enabling researchers to assess content relevance and deepen research with suggestions for related topics using natural language.
Note: The tool is limited to the document being viewed. It does not search the web or the JSTOR database.
The Search Query Optimizer is a custom GPT that creates database and search engine queries using truncation, keywords, and Boolean search operators.