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Artificial Intelligence in Scholarly Research, Part 2

by | May 8, 2020


AI in the Research Library Environment

This session was presented live on May 20, 2020.

Description: Join us for a conversation between Ruth Pickering, Co-Founder and COO at Yewno, and Michael Keller, University Librarian & Vice Provost for Teaching and Learning at Stanford University, on the topic of artificial intelligence (AI) in the research library environment.

Michael Keller is the author of a chapter in the upcoming Charleston Briefings title on the same subject.

“For those who picture well-worn books and archival collections when they think of academic libraries, it may not be immediately apparent how libraries can both benefit from and shape applications of artificial intelligence. Libraries are the nexus of the preservation of memory and the future of knowledge production, both of which are key to successful applications of AI. Though the popular vision of AI is almost entirely a futuristic vision, machine intelligence is fueled entirely by past human creation and collection, whether it is remote-sensing data gathered yesterday or manuscripts from centuries past. Ordering and contextualizing that information is an essential part of knowledge creation. Speech-to-text translation, image similarity search, and word embeddings, accelerated by algorithmic processing, are already changing how we discover and interact with information online. Finding the right information to answer a query, finding a novel resource to drive innovative research agenda, those require the kind of human expertise found in the library and we need to bring that expertise to the design of AI.”



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