Special Issue of Information Technology and Libraries on Accelerating Generative AI Integration in Libraries Published

Accelerating Generative AI Integration in Libraries
<https://ital.corejournals.org/index.php/ital/issue/view/1397>, a special
issue of Information Technology and Libraries (ITAL) guest-edited by Katy
Miller and Ellen Schmid, was published on September 21, 2026. ITAL is a
diamond open-access journal published by the American Library Association’s
Core division.

This issue showcases examples and ideas for integrating GenAI tools into
galleries, libraries, archives, and museums (GLAM) and other information
science communities. It contains the following peer-reviewed articles:


   -

   “From Show Programs to Linked Data: A Generative AI Workflow for
   Performing Arts Collections
   <https://ital.corejournals.org/index.php/ital/article/view/17708>,” by
   Clarisse Bardiot, Bernard Jacquemin, Jacob Hart, George Bruseker, Antonios
   Lagarias, Pierre-Carl Langlais, Brandon Farnsworth, and Jeanne Fras,
   presents a workflow to transform historical print show programs into
   searchable, digitized data.
   -

   “An AI-enabled Digital Research Assistant for the Legislación Mexicana
   Corpus <https://ital.corejournals.org/index.php/ital/article/view/17711>,”
   by Alberto Santiago Martinez, Rodrigo Cuellar Hidalgo, and Javier Cisneros
   Brito, describes an AI research assistant created to enhance searching of
   the forty-two-volume Legislación Mexicana, a compilation of legal
   dispositions spanning more than two centuries.
   -

   “Transparent AI Tools for Libraries: Creating the OneSearch Assistant
   <https://ital.corejournals.org/index.php/ital/article/view/17697>,” by
   Lucy Campbell and Keven Jeffery, discusses an AI assistant developed to
   improve the user experience in searching their library’s discovery layer.
   -

   “Project Gutenberg’s Artificial Intelligence Initiatives
   <https://ital.corejournals.org/index.php/ital/article/view/17709>,” by
   Ilana Kingsley, reviews the use of AI by Project Gutenberg in audiobooks,
   book summaries, and browsing categories.
   -

   “Exploring AI-Assisted Classification for Collection Analysis
   <https://ital.corejournals.org/index.php/ital/article/view/17644>,” by
   Jennifer Moon-Chung and Berenika M. Webster, presents an interactive
   Tableau dashboard that connects the library collection to research and
   teaching activities to assist with collection development.
   -

   “Artificial Research Intelligence: Autonomously AI-Generated Science and
   the Implications for Research Libraries
   <https://ital.corejournals.org/index.php/ital/article/view/17706>,” by
   Michael Ridley, provides a detailed roadmap of the scholarship surrounding
   Artificial Research Intelligence (ARI) and implications for research
   libraries.


This issue also has our regular contributed column:

   -

   ITAL &: “Prompting Critical Thinkers: Using Library Frameworks to Teach
   AI Literacy as a Workforce Skill
   <https://ital.corejournals.org/index.php/ital/article/view/17827>,” by
   Anna Clymer, shares a case study on modifying a library lesson on
   generative AI tools




--
Ken Varnum
Senior Program Manager and Discovery Strategist
Library Information Technology | University of Michigan Library
varnum_at_umich.edu | *he, him, his*
https://www.lib.umich.edu/users/varnum