Journal Article: “Responsible AI Practice in Libraries and Archives: A Review of the Literature”
The articles linked below were published today by Information Technology and Libraries (ITAL). It is one of several articles about AI in this issue.
Title
Responsible AI Practice in Libraries and Archives: A Review of the Literature
Authors
Sara Mannheimer
Montana State University
Natalie Bond
University of Montana
Scott W.H. Young
Iowa State University
Hannah Scates Kettler
Iowa State University
Addison Marcus
Montana State University
Sally K. Slipher
Montana State University
Jason A. Clark
Montana State University
Yasmeen Shorish
James Madison University
Doralyn Rossmann
Montana State University
Bonnie Sheehey
Montana State University
Source
Information Technology and Libraries
Vol. 43, No. 3 (2024)
DOI: 10.5860/ital.v43i3.17245
Abstract
Artificial intelligence (AI) has the potential to positively impact library and archives collections and services—enhancing reference, instruction, metadata creation, recommendations, and more. However, AI also has ethical implications. This paper presents an extensive literature and review analysis that examines AI projects implemented in library and archives settings, asking the following research questions: RQ1: How is artificial intelligence being used in libraries and archives practice? RQ2: What ethical concerns are being identified and addressed during AI implementation in libraries and archives? The results of this literature review show that AI implementation is growing in libraries and archives and that practitioners are using AI for increasingly varied purposes. We found that AI implementation was most common in large, academic libraries. Materials used in AI projects usually involved digitized and born digital text and images, though materials also ranged to include web archives, electronic theses and dissertations (ETDs), and maps. AI was most often used for metadata extraction and reference and research services. Just over half of the papers included in the literature review mentioned ethics or values related issues in their discussions of AI implementation in libraries and archives, and only one-third of all resources discussed ethical issues beyond technical issues of accuracy and human-in-the-loop. Case studies relating to AI in libraries and archives are on the rise, and we expect subsequent discussions of relevant ethics and values to follow suit, particularly growing in the areas of cost considerations, transparency, reliability, policy and guidelines, bias, social justice, user communities, privacy, consent, accessibility, and access. As AI comes into more common usage, it will benefit the library and archives professions to not only consider ethics when implementing local projects, but to publicly discuss these ethical considerations in shared documentation and publications.
Direct to Full Text Article
29 pages; PDF.
See Also: Three More (of Several) AI-Related Articles in this Issue
- It Takes a Village: A Distributed Training Model for AI-Based Chatbots
- Exploring the Impact of Generative Artificial Intelligence on Higher Education Students’ Utilization of Library Resources: A Critical Examination
- The Jack in the Black Box: Teaching College Students to Use ChatGPT Critically
Direct to Complete Table of Contents
Filed under: Academic Libraries, Archives and Special Collections, Journal Articles, Libraries, Maps, News
About Gary Price
Gary Price (gprice@gmail.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com.