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Navigating Generative Artificial Intelligence: Early Findings and Implications for Research, Teaching, and Learning

Home / Topics / Artificial Intelligence / Navigating Generative Artificial Intelligence: Early Findings and Implications for Research, Teaching, and Learning

March 11, 2024

Beth LaPensee
Senior Product Manager
ITHAKA

Kevin Guthrie
President
ITHAKA

Starting in mid-2023, ITHAKA began investing in and engaging directly with generative artificial intelligence (AI) in two broad areas: a generative AI research tool on the JSTOR platform and a collaborative research project led by Ithaka S+R. These technologies are so crucial to our futures that working directly with them to learn about their impact, both positive and negative, is extremely important.

This presentation will share early findings that illustrate the impact and potential of generative AI-powered research based on what JSTOR users are expecting from the tool, how their behavior is changing, and implications for changes in the nature of their work. The findings will be contextualized with the cross-institutional learning and landscape-level research being conducted by Ithaka S+R. By pairing data on user behavior with insights from faculty and campus leaders, the session will share early signals about how this technology-enabled evolution is beginning to take shape.

https://www.jstor.org/generative-ai-faq

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Filed Under: Artificial Intelligence, CNI Spring 2024 Project Briefings, Emerging Technologies, Information Access & Retrieval, Project Briefing Pages, Standards
Tagged With: cni2024spring, Project Briefings & Plenary Sessions

Last updated:  Thursday, May 9th, 2024

 

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