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: Responsible AI Case Studies

  • 1.  Call for Proposals: Responsible AI Case Studies

    Posted Dec 01, 2022 04:54 PM

    Posting on behalf of the project team. Please send questions to Jason Clark: jaclark@montana.edu.

     

    The IMLS-funded Responsible AI grant team is soliciting proposals for case studies that explore ethical challenges of Artificial Intelligence (AI) projects and tools in libraries and archives. These case studies will aid in the development of an ethical decision-making tool, and case study authors will also have the option to publish in a special issue of Journal of eScience Librarianship. Each accepted case study author team will receive a $1,000 honorarium. Please see our website for the full Call for Proposals, including details and timeline.

     

    We are using a broad definition of Artificial Intelligence for this call-encompassing many types of automation in library work. Some examples of the types of AI projects or tools that could be considered are:

    • ILS recommender systems
    • Image recognition/computer vision
    • Automated metadata creation
    • Chat bots
    • Text analysis in digital humanities centers in libraries
    • Speech-to-text/automated transcription of library resources such as oral histories

     

    Case studies can include projects at any stage of implementation-including those that were investigated and not implemented because of ethical or logistical issues. We are looking for broad representation across the libraries and archives community, including institutions that are private or public, research-intensive or not. Please limit teams to 4 or fewer authors. Authors should have worked closely on the tool or project described in the case study. 

     Deadline for proposal submissions: January 20, 2023

     Submit your proposal here.

     

    Questions can be directed to Jason Clark: jaclark@montana.edu



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    Margaret Heller
    Digital Services Librarian
    President // Core, a division of ALA
    Loyola University Chicago
    mheller1@luc.edu
    She/Her/Hers
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