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
