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

Spring 2024 Member Meeting: CNI website • YouTube

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

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

Spring 2024 Member Meeting: CNI website • YouTube

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

The ARL/CNI 2035 Scenarios: AI-Influenced Futures in the Research Environment. Washington, DC, and West Chester, PA: Association of Research Libraries, Coalition for Networked Information, and Stratus Inc., May 2024. https://doi.org/10.29242/report.aiscenarios2024