Core Artificial Intelligence and Machine Learning in Libraries Interest Group

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Purpose: Provides a forum for researching potential applications of Machine and Deep Learning in library science, including discussions, publications, and outreach to the wider Library community. Its goal is to educate librarians on uses of the complex techniques of machine learning and to provide a space for critically thinking both about new applications, and about the ethical and social impact of these technologies , as the field rapidly expands in the coming decade.

This group is part of Core's Technology Section.

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Panel Discussion: Future applications of AI in creating and managing library metadata

  • 1.  Panel Discussion: Future applications of AI in creating and managing library metadata

    Posted Oct 12, 2023 10:06 AM

    October 24, 2023, 1:00pm-2:30pm EST (virtual)
    Register here: https://us02web.zoom.us/meeting/register/tZwoce2vqj8pG9eAsxW7zOfucfRgv8zfxUZ2

    Join MCLS's Linked Data Users Group for our virtual fall All-Users Meeting. A panel (including Philip E. Schreur from Stanford University Libraries and Caroline Saccucci from the Library of Congress) will discuss potential benefits and pitfalls of using artificial intelligence and machine learning in the library data ecosystem. With experimentation and use of these new technologies reaching the library world, we'll explore the implications of their use on cataloging and metadata, and how linked data will connect. Bring your questions; a Q&A will follow. 



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    Marianne Swierenga
    Cataloging and Metadata Librarian
    Western Michigan University
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