Blog Tag: Generative AI on JSTOR

We are actively learning from usage, real-world applications, and user feedback in a limited beta environment to build out capabilities thoughtfully, intentionally, incrementally, and most importantly–based on evidence. This blog post delves into the rationale, construction, and current functionality of JSTOR’s beta generative AI tool, as well as the key themes and insights that have emerged from our analysis of its usage.

Discover how Sarah Kiyak, a teacher at Alexandria High School in Virginia, leveraged JSTOR's generative AI tool to enhance student engagement, foster research skills, and streamline workflows in her classroom.

Discover how researchers and students explore the usage of ChatGPT in generative AI. Learn how this collaboration led to JSTOR's AI tool development and improved search features tailored for students' needs, reflecting ITHAKA's community-driven ethos and commitment to expanding knowledge access.

Explore the impact of ChatGPT on the JSTOR academic community and discover JSTOR's AI-powered research tool in this blog post. Learn about our approach to machine learning and generative AI in academia.

Despite these concerns, and in some ways because of them, we are collaborating closely with our community of librarians, faculty, researchers, and students to address the numerous existential questions, institutional concerns, and practical considerations introduced by use of generative AI in education. We are great believers in learning both through careful research and through action, and so I want to introduce you to some of the work we have underway.