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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Library track added at Teaching & Learning with AI (TLWAI) Conference, CFP open!

  • 1.  Library track added at Teaching & Learning with AI (TLWAI) Conference, CFP open!

    Posted Feb 13, 2024 12:18 PM

    Hi all, this just came across my inbox so I thought I'd share it with folks here in case it's of interest.

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    The University of Central Florida is pleased to announce the addition of a Library Track to the second annual Teaching & Learning with AI (TLWAI) conference, to be held July 22-24, 2024, in Orlando, Florida. The call for proposals is now open and we invite academic librarians and library workers to submit a proposal to the Library Track. 

    Call for Proposals 

     Participants from academic libraries are encouraged to submit proposals. Individual and team proposals are equally welcome. The conference is in-person only and the Library Track has three formats: 
     

    • 25-minute interactive presentations for sharing examples of library implementations or practices related to AI in academic libraries, or that challenge participants to discuss deeper, not-easily-answered questions about AI in libraries  

    • 50-minute in-depth workshops, panels, or explorations on more complicated projects, assessments, concepts  

    • Poster sessions can be on any topic related to AI in Libraries and may be digital or print 
       

    Example topics for the Library Track  
     

    • AI-assisted content and metadata creation  

    • Ethical considerations related to AI and its use in libraries  

    • Library and institutional policies around the use of AI  

    • Professional development and support in learning AI in libraries  

    • AI literacy and critical thinking with AI  

    • Prompt engineering in libraries  

    • Intellectual property issues related to incorporating licensed content into AI and text and data mining projects 

    • Incorporating AI into library applications and processes  

    • Using AI with open access and open educational resources  

    • AI and digital scholarship, research support, and instruction services  

    Note: Because this is primarily a sharing conference, priority will be given to proposals that have clear ideas for takeaways that participants can use in their own libraries.  
     
    The deadline to submit a proposal to the Library Track is 11:59 p.m. on Sunday, March 17, 2024. Acceptance decisions will be sent by April 12, 2024. 

    Further details, including registration costs, hotels, and opportunities to sponsor can be found at https://digitallearning.ucf.edu/teachwithai/. Questions may be sent to teachwithai@ucf.edu. 

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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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