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Information Technology and Libraries Journal, Vol. 43 No. 3 (2024): Special Issue on AI & ML
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CC BY-NC
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Peer-reviewed articles in this special issue:

- “Responsible AI Practice in Libraries and Archives: A Review of the Literature” by Sara Mannheimer, Natalie Bond, Scott W. H. Young, Hannah Scates Kettler, Addison Marcus, Sally K. Slipher, Jason A. Clark, Yasmeen Shorish, Doralyn Rossmann, and Bonnie Sheehey. The authors explore the existing literature to identify and summarize trends in how libraries have (or have not) considered AI’s ethical implications.
- “It Takes a Village: A Distributed Training Model for AI-based Chatbots” by Beth Twomey, Annie Johnson, and Colleen Estes, discusses the steps taken at their institution to develop and implement a library chatbot powered by a large language model, as well as lessons learned.
- “‘Gimme Some Truth’ AI Music and Implications for Copyright and Cataloging” by Adam Eric Berkowitz, details modern developments in AI-assisted music creation, and the resultant challenges that these surface regarding copyright and cataloging work.
- “Adapting Machine Translation Engines to the Needs of Cultural Heritage Metadata” by Konstantinos Chatzitheodorou, Eirini Kaldeli, Antoine Isaac, Paolo Scalia, Carmen Grau Lacal, and Mª Ángeles García Escrivá provides an overview of the process used to hone general-use machine translation engines to improve their outputs when translating cultural heritage metadata in the Europeana repository from one language to another.
- “Exploring the Impact of Generative Artificial Intelligence on Higher Education Students' Utilization of Library Resources: A Critical Examination” by Lynsey Meakin applies the Technological Acceptance Model to higher education students’ perceptions and adoption of tools using generative AI models.

Recurring content:
- Public Libraries Leading the Way: “Activating Our Intelligence: A Common-Sense Approach to Artificial Intelligence” by Dorothy Stoltz

- ITAL &: “The Jack in the Black Box: Teaching College Students to Use ChatGPT Critically” by Shu Wan

Subject:
Applied Science
Computer Science
Education
Higher Education
Information Science
Material Type:
Reading
Author:
Addison Marcus
Annie Johnson
Antoine Isaac
Beth Twomey
Bonnie Sheehey
Carmen Grau Lacal
Colleen Estes
Doralyn Rossmann
Dorothy Stoltz
Eirini Kaldeli
Hannah Scates Kettler
Jason A. Clark
Konstantinos Chatzitheodorou
Lynsey Meakin
Natalie Bond
Paolo Scalia
Sally K. Slipher
Sara Mannheimer
Scott W. H. Young
Shu Wan
Yasmeen Shorish
and MªÁngeles García Escrivá
Peter Musser
Date Added:
10/01/2024
Modifying an Open Textbook: What You Need to Know
Unrestricted Use
CC BY
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Short Description:
This is a five-step guide for faculty, and those who support faculty, who want to modify an open textbook. Step-by-step instructions for importing and editing common open textbook file and platform types are included.

Long Description:
Modifying an Open Textbook: What You Need to Know focuses on the technological aspects of editing open textbooks found in the Open Textbook Library or elsewhere, and will help you assess the effort, expertise, and technical tools needed. In addition, this guide includes step-by-step instructions for importing and editing common open textbook file and platform types. Finally, this guide provides a basic overview of accessibility considerations and general guidance on where to find additional help. Adapted from “6 Steps to modifying an Open Textbook” by Clint Lalonde, CC BY 4.0 International.

Word Count: 5862

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

Subject:
Education
Material Type:
Textbook
Provider:
Open Education Network
Author:
Amy Hofer
Anita Walz
Annie Johnson
Cheryl Cuillier
Karen Lauritsen
Kathleen Labadorf
Peter Potter
Richard Saunders
Date Added:
11/01/2016