Blog Topic: AI and advanced technologies

Learn how we’re building and evolving JSTOR Seeklight’s safeguards against bias and harmful content through AI, expert insight, and user feedback.

This year’s American Library Association (ALA) Conference in Philadelphia offered an opportunity to share how JSTOR is addressing two interconnected needs: helping researchers navigate trusted content more intuitively, and helping libraries manage, preserve, and activate distinctive collections at scale.

JSTOR's AI research tool (formerly known as the Interactive Research Tool) has officially launched for all JSTOR-participating institutions. In this blog post, explore the tool’s development history, recent updates, and community insights JSTOR team learned from this year’s American Library Association conference.

Senior Product Manager Ann Connolly shares how JSTOR Digital Stewardship Services addresses key collection management issues with a unique integration approach.

Senior Product Manager Syed Amaanullah shares how JSTOR Seeklight blends technology and human expertise to deliver a purpose-built AI application for archives.

At SXSW EDU 2025, educators gathered to discuss the promises and pitfalls of AI in the classroom. This post reflects on the evolving role of humanities instructors, advocating for AI as a collaborative tool to support metacognition, process-based learning, and critical engagement.

At ACRL 2025, JSTOR marked its 30th anniversary while unveiling JSTOR Digital Stewardship Services—built to support libraries in managing and preserving digital collections using AI-assisted metadata creation and community-driven collaboration.

An archivist explores how AI can help surface hidden histories, improve metadata, and support digital stewardship while emphasizing the need for human expertise in shaping archival narratives.

Discover how archivists and librarians shaped JSTOR Seeklight, an AI-powered technology that streamlines collections processing and enhances digital stewardship.

JSTOR’s interactive research tool allows users to actively engage with texts by asking questions directly within the tool. Based on user feedback, we created this guide to help you get the most out of this feature. We’ll explore how asking the right types of questions can help you quickly find relevant content, understand complex arguments, and support your research more effectively.