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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CALL FOR PROPOSALS EXTENDED: Information Technology and Libraries Journal (ITAL) AI & ML Special Edition

  • 1.  CALL FOR PROPOSALS EXTENDED: Information Technology and Libraries Journal (ITAL) AI & ML Special Edition

    Posted Oct 12, 2023 01:01 PM

    Just a heads up that the call for proposals in my last post has been extended to October 31!

    Also, I wanted to clarify that at this time we're looking for proposals, not fully fleshed out manuscripts (in case that's holding anyone back).

    If you have something you're working on (or something that you want to write) but it's not done yet, that's a-okay: accepted proposers will have until mid-December  to submit their manuscripts for peer review, possibly with some wiggle room.

    Thanks for your consideration; we look forward to hearing about what you've been working on!

    -

    The text of the original call follows:

    Information Technology and Libraries Journal (ITAL) is seeking authors for a peer-reviewed special edition focusing on Artificial Intelligence (AI) and Machine Learning (ML). Submissions should focus on AI and ML and their use in or around libraries, museums, and archives. For example, submissions could focus on how these technologies are being introduced or used by library stakeholders, critiques of methods and programs, and possible future use cases. While a given submission may focus on a particular tool (e.g. ChatGPT) or technology (e.g. machine translation), the journal is interested in publishing an issue that provides insight into a breadth of topics and applications in the AI and ML landscape.

     

    This special edition will be published in mid-2024 and is being guest edited by Joy DuBose and Peter Musser, co-chairs of the ALA AI and Machine Learning Interest Group. 

    Interested authors may submit an abstract for initial consideration to the editorial team no later than Monday, October 16, 2023.

    Once submitted abstracts have been reviewed, all authors will be contacted by email and informed whether they have been chosen to submit manuscripts, with complete manuscripts due by December 15th to begin peer review.

    Authors interested in contributing ideas or articles for this edition may contact the guest editors:

    Joy DuBose at jdubose@library.msstate.edu or Peter Musser peter@iskme.org.

     



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    Peter Musser
    Co-chair, CORE IG for Artificial Intelligence and Machine Learning in Libraries

    Head, Library Services
    ISKME
    He/Him/His
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