By incorporating generative AI features into the JSTOR platform, we aim to empower students, faculty, researchers, and librarians to deepen their research, comprehend complex content, and unearth new avenues for discovery. Please see Approaching generative AI together: A letter from Kevin Guthrie for a robust statement on our broad approach.
What it does:
The beta feature harnesses the power of generative AI to offer the following capabilities:
What it’s called:
We will not be introducing a formal name during the beta phase. User feedback and other learnings gathered during this phase will guide the development and naming of our final feature. As a placeholder for the beta phase, we will leverage descriptive labels (e.g. “JSTOR's AI research tool”) with potential to formally name or personify later.
We are starting with a “limited beta,” meaning only invited users will be able to use the research tool. This will allow us to carefully control the amount of users and our ability to respond to feedback we may get. Only users who are affiliated with participating institutions and are logged into their personal account will be invited to opt in.
Timeline:
Steps to request one-off user access to the research tool
One-off requests go to PAUS:
These are yours to pull from in answering questions from our community, and to share with participants as needed. You'll also find tips below on where and when each asset might be most helpful to you!
Core asset:
Other assets: Refer to and use the below for more detailed, nuanced, and/or thorough information and for participant meetings:
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