The JSTOR AI Research Tool beta program is available at least until the end of the year. This is a pilot of an interactive tool using artificial intelligence to facilitate browsing the JSTOR database content. The goal of the JSTOR AI Research Tool is to help identify key ideas, evaluate the relevance of texts, and discover related topics.
The JSTOR AI Research Tool (Assistant) is available to employees and students of Charles University after logging into the JSTOR database:
Access the database from the Electronic Resources Portal:
https://cuni.primo.exlibrisgroup.com/permalink/420CKIS_INST/gf08nd/alma9925586093006986
(This ensures your account is correctly paired with the Charles University subscription)
In the top right corner, select Register (if you don't have an account) / Log in (if you already have an account).
Search for the content you are interested in.
Next to/under the content (depending on screen size), the AI assistant window will appear.
Its use is intuitive and offers some predefined options.
Feel free to test the Assistant in various languages and use the "Submit feedback" button to provide feedback to the developers. The Assistant is still in beta, and your feedback will help improve it. You may also occasionally receive notifications about new features and improvements while using JSTOR.
You can always turn the Assistant on/off using the OFF/ON switch.
Explore generative AI on JSTOR Introduction and FAQs
One sheet Overview
Empowering research with generative AI on JSTOR – Article about the tool's capabilities
Generative AI on JSTOR: What we’re learning from early usage, real-world applications, and user feedback JSTOR article on the pilot development
Beta Generative AI tool on JSTOR with David Corneail, Product Designer –short video
Vygenerováno pomocí Microsoft Copilot
