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Artificial Intelligence and Libraries Bibliography

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  • Digital Scholarship

Abstract

The Artificial Intelligence and Libraries Bibliography includes over 125 selected English-language articles and books that are useful in understanding how libraries are exploring and adopting modern artificial intelligence (AI) technologies. It covers works from January 2018 through August 2023. It is licensed under a Creative Commons Attribution 4.0 International License. The bibliography is also available as a website (http://tinyurl.com/yckc65t4), which includes a Google Translate link. Keywords: academic libraries, artificial intelligence, chatbot, chatgpt, expert systems, generative artificial intelligence, libraries, intelligent library, libraries, machine learning, natural language processing, NLP, research libraries, robotics, and robots.
Artificial Intelligence and Libraries Bibliography
Charles W. Bailey, Jr.
Houston: Digital Scholarship, 2023
The Artificial Intelligence and Libraries Bibliography includes over 125 selected English-
language articles and books that are useful in understanding how libraries are exploring
and adopting modern artificial intelligence (AI) technologies. It covers works from January
2018 through August 2023. The bibliography is available as a website and a website PDF
with live links.
AI is a complex topic, but these recent overviews of general AI systems1 and generative AI
systems2 are helpful in understanding it (both papers are open access).
Libraries have been exploring AI technology for a long time. In particular, there was an
active period of experimentation from the mid-1980s through the mid-1990s that primarily
focused on the use of expert systems.3-14 Many projects used expert system shells, which
simplified development; however, some projects, such as the University of Houston's
Intelligent Reference Information System Project, also used AI languages, such as
Prolog.15 This period produced a significant number of library-related AI papers.
Subsequently, library interest in AI diminished until around 2018, when research activity
increased.
The public release of generative AI systems in late 2022, such as ChatGPT, sparked a
strong upsurge of interest in them and a rush to utilize their capabilities. Since these
systems are relatively easy to use, this development may result in a significant new wave
of library-oriented AI activity.
This bibliography does not cover conference proceedings, digital media works (such as
MP3 files), e-mail messages, interviews, letters to the editor, presentation slides or
transcripts, technical reports, unpublished e-prints, and/or weblog postings.
The bibliography has links to included works. Where possible, it uses Digital Object
Identifier System (DOI) URLs. All links are subject to change. Should a link be dead, try
entering it in the Internet Archive Wayback Machine.
References in this bibliography are created from information in the publisher's online record
for the work. Some publishers may use nontraditional citation elements and patterns. Key
information may be missing from the publisher's online record (e.g, volume, number, and
pages). In some cases, there is online publication date information instead. If there is a
citation format tool on the work's online record, the information from that tool is used.
References
1. Yuchen Jiang, Xiang Li, Hao Luo, Shen Yin, and Okyay Kaynak, "Quo Vadis Artificial
Intelligence?," Discover Artificial Intelligence 2, no. 4 (2022),
https://doi.org/10.1007/s44163-022-00022-8
2. Roberto Gozalo-Brizuela and Eduardo C. Garrido-Merchan, "ChatGPT Is Not All You
Need. A State of the Art Review of Large Generative AI Models," arXiv (2023),
https://arxiv.org/abs/2301.04655
3. Ralph Alberico and Mary Micco, Expert Systems for Reference and Information Retrieval
(Westport, CT: Meckler, 1990), https://www.worldcat.org/title/20797396
4. Rao Aluri and Donald E. Riggs, "Application of Expert Systems to Libraries," in
Advances in Library Automation and Networking, vol. 2, ed. Joe A. Hewitt (Greenwich, CT:
JAI Press, 1988), 1-43, https://www.worldcat.org/title/19100211
5. Rao Aluri and Donald E. Riggs, eds., Expert Systems in Libraries (Norwood, NJ: Ablex
Pub. Corp. 1990), https://www.worldcat.org/title/21197415
6. Charles W. Bailey, Jr., "Intelligent Library Systems: Artificial Intelligence Technology and
Library Automation Systems," in Advances in Library Automation and Networking, vol. 4,
ed. by Joe A. Hewitt (Greenwich, CT: JAI Press, 1991), 1-23, https://tinyurl.com/59ywykzb
7. Charles W. Bailey, Jr. and Judy E. Myers, eds., Expert Systems in ARL Libraries, SPEC
Kit 174 (Washington, DC: Association of Research Libraries, 1991),
https://tinyurl.com/bdd5dwz2
8. Sharon Manel De Silva, "A Review of Expert Systems in Library and Information
Science," Malaysian Journal of Library and Information Science 2, no. 2 (1997): 57-92,
https://tinyurl.com/53cjr8un
9. Carol Pitts Hawks, "Expert Systems in Technical Services and Collection Management,"
Information Technology and Libraries 13, no. 3 (1994): 203-212,
https://kb.osu.edu/handle/1811/54540
10. Cynthia C. Hsieh and Wendy Hall, "Survey of Artificial Intelligence and Expert Systems
in Library and Information Science Literature," Information Technology and Libraries 8, no.
2 (1989): 209-214, https://tinyurl.com/2f8xcs8z
11. F. Wilfrid Lancaster and Linda C. Smith, eds., Artificial Intelligence and Expert Systems:
Will They Change the Library? (Urbana-Champaign: Graduate School of Library and
Information Science, University of Illinois at Urbana-Champaign, 1992),
https://hdl.handle.net/2142/1210
12. Anne Morris, ed., The Application of Expert Systems in Libraries and Information
Centres (London: Bowker-Saur, 1992), https://www.worldcat.org/title/300836865
13. Christine Roysdon and Howard D. White, eds., Expert Systems in Reference Services
(New York: Haworth Press, 1989), https://www.worldcat.org/title/18681443
14. Linda C. Smith, "Artificial Intelligence and Information Retrieval," in Annual Review of
Information Science and Technology, vol. 22, ed. Martha E. Williams (Amsterdam: Elsevier,
1987), 41-77, https://www.worldcat.org/title/21468298
15. Charles W. Bailey, Jr., "The Intelligent Reference Information System Project: A Merger
of CD-ROM LAN and Expert System Technologies," Information Technology and Libraries
11, no. 3 (1992): 237-244, https://tinyurl.com/mrychcpk
Dedication
In memory of Paul Evan Peters (1947-1996), founding Executive Director of the Coalition
for Networked Information, whose visionary leadership at the dawn of the Internet era
fostered the development of scholarly electronic publishing.
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About the Author
Charles W. Bailey, Jr. is the publisher of Digital Scholarship and a noncommercial digital
artist (ORCID ID: https://orcid.org/0000-0001-8453-4402).
Bailey has over 46 years of information technology, digital publishing, and instructional
technology experience, including 24 years of managerial experience in academic libraries.
From 2004 to 2007, he was the Assistant Dean for Digital Library Planning and
Development at the University of Houston Libraries. From 1987 to 2003, he served as
Assistant Dean/Director for Systems at the University of Houston Libraries.
Previously, he served as Head, Systems and Research Services at the Health Sciences
Library, The University of North Carolina at Chapel Hill; Systems Librarian at the Milton S.
Eisenhower Library, The Johns Hopkins University; User Documentation Specialist at the
OCLC Online Computer Library Center; and Media Library Manager at the Learning
Resources Center, SUNY College at Oswego.
Bailey has discussed his career in an interview in Preservation, Digital Technology &
Culture. See Bailey’s vita for more details.
Bailey has been an open access publisher for over 34 years. In 1989, Bailey established
PACS-L, a discussion list about public-access computers in libraries, and The Public-
Access Computer Systems Review, the first open access journal in the field of library and
information science. He served as PACS-L Moderator until November 1991 and as Editor-
in-Chief of The Public-Access Computer Systems Review until the end of 1996.
In 1990, Bailey and Dana Rooks established Public-Access Computer Systems News, an
electronic newsletter, and Bailey co-edited this publication until 1992.
In 1992, he founded the PACS-P mailing list for announcing the publication of selected e-
serials, and he moderated this list until 2007.
In 1996, he established the Scholarly Electronic Publishing Bibliography (SEPB), an open
access book that was updated 80 times by 2011.
In 2001, he added the Scholarly Electronic Publishing Weblog, which announced relevant
new publications, to SEPB. It was published through 2013.
In 2001, he was selected as a team member of Current Cites, and he has was a frequent
contributor of reviews to this monthly e-serial until 2020.
In 2005, he published the Open Access Bibliography: Liberating Scholarly Literature with
E-prints and Open Access Journals with the Association of Research Libraries (also a
website).
In 2005, Bailey established Digital Scholarship (http://digital-scholarship.org/), which
provides information and commentary about artificial intelligence, digital copyright, digital
curation, digital repository, open access, research data management, scholarly
communication, and other digital information issues. Digital Scholarship’s digital
publications are open access. Its publications are licensed under a Creative Commons
Attribution 4.0 International License or a Creative Commons Attribution 3.0 Unported
License. Digital Scholarship is a noncommercial publisher and it accepts no advertising.
At that time, he also established DigitalKoans, a weblog that covers the same topics as
Digital Scholarship. From April 2005 through May 2023, DigitalKoans published over
15,000 posts.
From April 2005 through December 2022, Digital Scholarship had over 39 million page
views from over 13 million visitors from 235 countries (excluding spiders and non-content
files).
From April 2005 through August 2023, Bailey published the following books and book
supplements: the Scholarly Electronic Publishing Bibliography: 2008 Annual Edition (2009),
Digital Scholarship 2009 (2010), Transforming Scholarly Publishing through Open Access:
A Bibliography (2010), the Scholarly Electronic Publishing Bibliography 2010 (2011), the
Digital Curation and Preservation Bibliography 2010 (2011), the Institutional Repository
and ETD Bibliography 2011 (2011), the Digital Curation Bibliography: Preservation and
Stewardship of Scholarly Works (2012), the Digital Curation Bibliography: Preservation and
Stewardship of Scholarly Works, 2012 Supplement (2013), and the Research Data
Curation and Management Bibliography (2021).
He also published and updated the following bibliographies, webliographies, and weblogs:
the Scholarly Electronic Publishing Bibliography (1996-2011), the Scholarly Electronic
Publishing Weblog (2001-2013), the Electronic Theses and Dissertations Bibliography
(2005-2021), the Google Books Bibliography (2005-2011), the Institutional Repository
Bibliography (2009-2011), the Open Access Journals Bibliography (2010), the Digital
Curation and Preservation Bibliography (2010-2011), the E-science and Academic
Libraries Bibliography (2011), the Digital Curation Resource Guide (2012), the Research
Data Curation Bibliography (2012-2019), the Altmetrics Bibliography (2013), the
Transforming Peer Review Bibliography (2014), the Academic Library as Scholarly
Publisher Bibliography (2018-2023), the Research Data Sharing and Reuse Bibliography
(2021), the Research Data Publication and Citation Bibliography (2022), Digital Curation
Certificate and Master's Degree Programs (2023), the Academic Libraries and Research
Data Management Bibliography (2023), and the Artificial Intelligence and Libraries
Bibliography (2023).
In 2011, he established the LinkedIn Digital Curation Group.
In 2010, Bailey was given a Best Content by an Individual Award by The Charleston
Advisor. In 2003, he was named as one of Library Journals' "Movers & Shakers." In 1993,
he was awarded the first LITA/Library Hi Tech Award for Outstanding Communication for
Continuing Education in Library and Information Science. In 1992, Bailey received a
Network Citizen Award from the Apple Library.
In 1973, Bailey won a Wallace Stevens Poetry Award. He is the author of The Cave of
Hypnos: Early Poems, which includes several poems that won that award.
Bailey has written over 30 papers about artificial intelligence, digital copyright, institutional
repositories, open access, scholarly communication, and other topics.
He has served on the editorial boards of Information Technology and Libraries, Library
Software Review, and Reference Services Review. He was the founding Vice-Chairperson
of the LITA Imagineering Interest Group.
Bailey is a digital artist, and he has made over 680 digital artworks freely available on
social media sites, such as Flickr, under Creative Commons Attribution-NonCommercial
licenses. A list of his artwoks that includes links to high resolution JPEG images on Flickr is
available.
He holds master’s degrees in information and library science and instructional media and
technology.
You can contact him at: publisher at digital-scholarship.org.
You can follow Bailey at these URLs:
Digital Artist weblog: https://charleswbaileyjr.name and RSS feed:
https://charleswbaileyjr.name/feed
DigitalKoans weblog: http://digital-scholarship.org/digitalkoans/ and RSS feed:
https://digital-scholarship.org/digitalkoans/feed/
Flickr: https://www.flickr.com/photos/charleswbaileyjr/
Citation
Charles W. Bailey, Jr., Artificial Intelligence and Libraries Bibliography (Houston: Digital
Scholarship, 2023), https://digital-scholarship.org/ai/ai-libraries.htm.
Bailey, Charles W., Jr. Artificial Intelligence and Libraries Bibliography. Houston: Digital
Scholarship, 2023. https://digital-scholarship.org/ai/ai-libraries.htm.
Copyright © 2023 by Charles W. Bailey, Jr.
This work is licensed under a Creative Commons Attribution 4.0 International License.
Chapter
This chapter examines the impact of artificial intelligence on higher education, with a particular focus on educational leadership. It begins by exploring the history of digital leadership and emphasizes the role of AI as a catalyst for educational transformation. However, this progression introduces a range of challenges, including the necessity for educators to develop advanced digital skills and to address ethical considerations related to AI adoption. The discussion highlights the influence of AI on pedagogical practices and explores the necessity of strategic vision, adaptability, and collaborative efforts. Through the examination of various case studies and the identification of both opportunities and challenges, the chapter provides practical recommendations for fostering effective digital leadership in the evolving AI-driven educational landscape. Finally, it underscores the importance of digital leadership in addressing the complexities of AI integration and in equipping educational institutions to meet future demands.
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Academic databases are indispensable information resources for teaching, learning and research development among academics. This study investigates the awareness and utilization of academic databases among lecturers of Kwara State Polytechnic, Ilorin, Nigeria. Descriptive survey design was adopted. Its population is 47 lecturers in the Institute of Information and Communication Technology (IICT), Kwara State Polytechnic, Ilorin, Nigeria. Census enumeration sampling was used to select the respondents. Self-developed questionnaire designed with Google Form was used to gather data from the respondents. 34 lecturers filled the questionnaire, representing a response rate of 72.42%. Findings revealed that the respondents are aware and utilized ResearchGate, Google Scholar, DOAJ and AJOL. Journals, e-books, datasets and reference materials are information resources the lecturers utilized on academic databases. Academic databases save the time of the lecturers, provides up-to-date information to them and important for their seminar/conference papers. But the lecturers find it challenging to utilize academic databases because of the cost of subscribing for information resources on fee-based databases, library in their institution do not provide user education on the use of academic databases and don't have adequate awareness of academic databases. This study concludes that awareness and utilization of academic databases are inevitable for lecturers who prioritized being in tune with trends and value quality research outputs and recommends that management of Kwara State Polytechnic Library should endeavor to be organizing awareness and training programmes on academic databases for the lecturers.
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Vuosi kuvailutyötä ja pää täynnä kysymyksiä. Miten tästä on saatu näin monimutkaista? Miten ikinä oppia RDA-standardin säännöt? Miksi todentavaa järjestelmää vieläkään ei ole? Entä mitä tekee tekoäly? Kuvailutyö on globaalisti merkityksellistä. Kyse on sisällöistä, tiedon tasa-arvosta – jopa demokratiasta. Tavoitteista ei kuitenkaan juuri puhuta. Ymmärrys avoimen kokoelmadatan merkityksestä, huoli kuvailutyön asemasta ja kuvailuasiantuntijoiden osaamisesta sai minut pohtimaan kuvailutyötä vähän enemmän. Kirjoituksen näkökulma painottuu tieteelliseen kirjastoon.
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Large language models (LLMs) have transformed the largest web search engines: for over ten years, public expectations of being able to search on meaning rather than just keywords have become increasingly realised. Expectations are now moving further: from a search query generating a list of "ten blue links" to producing an answer to a question, complete with citations. This article describes a proof-of-concept that applies the latest search technology to library collections by implementing a semantic search across a collection of 45,000 newspaper articles from the National Library of Australia's Trove repository, and using OpenAI's ChatGPT4 API to generate answers to questions on that collection that include source article citations. It also describes some techniques used to scale semantic search to a collection of 220 million articles.
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The general implications of AI for libraries are much discussed in library literature. But while this discussion takes place at the library-wide level, there are also important implications for subject librarians due to the specific uses of AI in different professions and areas of study. These are often overlooked as these specializations tend to publish in subject-specific journals. This article aims to address this research gap by providing a comparison and thematic analysis of this literature. Subject-specific library journals in the areas of law, health sciences, business, and humanities and social sciences were searched to identify relevant journal articles that discussed AI. 131 articles were identified and tagged with at least one category that reflected the nature of the discussion around AI. The following analysis showed that literature related to law had the greatest number of articles by far, though the publishing activity in all disciplines has increased significantly in the last 10 years. This article explores these trends to gain a more comprehensive understanding of the implications for subject-specific library work.
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Purpose The purpose of studying the impact of artificial intelligence text generators (AITGs) on libraries is to examine the effect of AITGs on the library landscape, including the services offered, the resources provided and the roles of library staff. Design/methodology/approach The current study examined how AITGs impact libraries. The researcher was able to comprehend the problem by critically analyzing and reviewing the pertinent published works, such as books, journals and articles. Findings This study concludes AITGs can assist libraries in streamlining operations, enhancing services and making collections more accessible. It is vital to highlight that AITGs are not intended to dissuade its users from visiting physical libraries or to replace them with virtual ones. Instead, they are a tool that can improve and supplement the services and resources provided by virtual libraries. Originality/value The study’s observations add to the corpus of information on AITGs in libraries and help users comprehend their technological foundations. Further empirical research is recommended on the effects of AITGs and their impact on libraries.
Chapter
Academic libraries are mandated to support the information needs of their students, staff, and faculty. In the current technological environment and the influx of artificial intelligence technology into services provision and delivery, this study assessed the knowledge and perception of librarians on the use of AI in library services provision in Ghana. The population for the study consisted of librarians from all 15 public universities in Ghana. Findings from the study revealed that the librarians were knowledgeable of the emergence of AI and sources their information on AI mainly from research articles. It was also revealed that educational level had a significant positive (r= 0.3, p<0.01) relationship with the sources of knowledge on AI tools and applications. There was a positive significant relationship (r= 0.533, p<0.01) between educational level and the frequency of knowledge acquisition on the application of AI in academic library services provision. Academic libraries are encouraged to invest in AI tools and applications to leverage their advantages.
Chapter
The chapter includes a comprehensive review of relevant published literature from the past five years. Through this review, the chapter explores the use of emerging technology-based services and systems such as intelligent libraries, recommender systems, fuzzy logic, and recommender system chatbots in the field of library and information science. The aim of this review is to provide up-to-date insights and information for professionals and researchers interested in utilizing these technologies to improve library services. The chapter highlights how these technologies can enhance the user experience and resource discovery. The chapter begins by introducing the concept of intelligent libraries and the role of emerging technology-based services and systems. It then explores the use of recommender systems and fuzzy logic in intelligent libraries, citing relevant published literature and discussing the benefits they bring to users. In the end, it discusses the potential challenges and limitations of these technologies, as well as best practices for their implementation and maintenance.
Article
Purpose Artificial intelligence (AI) is one of today’s rising technologies. AI is a commonly used technology in library services that have the potential to revolutionise the best offerings in the information age. With AI in libraries, users can explore the world of knowledge like never before with smart recommendations tailored to their needs. Overall, AI can enhance the library experience of both the users and library professionals with innovation and smart decisions. Hence, there is no doubt that AI and libraries have a close relationship; nonetheless, the usage and understanding of AI in library services continue to raise concerns, especially in the developing countries which this paper addresses. The purpose of this research paper is to review the current prospects and challenges of implementing AI in library services in developing countries. The primary objective of the study is to discern the pivotal predicaments and obstacles these nations face while implementing AI-based solutions and to propose pragmatic solutions. Design/methodology/approach The present study adopts a qualitative approach, using content analysis techniques to glean meaningful insights. An extensive review of the extant literature on the subject was conducted, which was meticulously analysed to furnish the findings of this study. The review is limited to English language sources, and searches were conducted using various online academic databases. Findings The review reveals that the prospects of implementing AI in library services in developing countries are significant, with potential benefits including improved access to information, increased efficiency and productivity and enhanced user experience. However, the review also identifies several challenges, including the lack of infrastructure and resources, the shortage of skilled personnel, the absence of data privacy regulations, digital divide and the high cost of implementing AI-based solutions. Practical implications The review suggests several practical solutions to overcome the challenges faced by developing countries in implementing AI in library services. These include partnerships between libraries and technology firms, investment in infrastructure and resources, training and capacity building for library staff and the development of regulatory frameworks to protect user data. Originality/value This research paper provides a comprehensive review of the prospects and challenges of implementing AI in library services in developing countries. The study is original in its focus on the perspectives of developing countries, their problems and obstacles. The study also provides practical recommendations that can be used by library managers, policymakers and technology firms to support the implementation of AI-based solutions in developing countries.
Article
Purpose Artificial intelligence (AI) is one of the emerging technologies of this time. AI is a widely used technology in library services that can transform the best services in the age of information technology. This paper aims to highlight the use of AI in library operations. Several research has been undertaken on this subject, but that only address a few applications. AI and libraries have a substantial nexus; nevertheless, the use and awareness of AI in library services are still creating question marks addressed in this paper. This study will help the policy stakeholder, librarians and scholars in the field to address these issues before the deployment of AI in library services. Design/methodology/approach This study is based on a qualitative method using content analysis techniques. An extensive review of literature on “artificial intelligence”, “smart libraries” was carried to ascertain the emerging technologies in the smart library domain. Literature was searched against various keywords like artificial intelligence, smart technologies, Internet of Things, electronic resource management, data mining and ambient intelligence. This study highlights the pros and cons of AI in library services and its possible solutions. Findings The findings of this study show that AI is a vibrant technology that can be used in library services; however, some obstacles like adequate funds, the attitude of librarians and technical skills are a few obstacles that hamper AI in library operations. The findings also reveal that using AI in library operations will accelerate libraries in the right direction. Furthermore, this study highlights various applications that can be deployed without spending costs. Practical implications This paper may be of interest to academic, librarians, policymakers, researchers and the government to have a perspective on initiatives in the country on application of technology in library services. This study can introduce the current status and potential of this technology to bring the technology revolution in library and information center services. Social implications This study will motivate library professionals to take advantage of AI in library services and further accelerate library operations in the right direction. Originality/value This study covers the understanding of AI in library services that will help the librarian’s and information professionals leverage AI in library scenarios. Furthermore, the practical implication of AI in library services will bring positive change in implementing AI.
Article
This article focuses on the development of a custom chatbot for Zayed University Library (United Arab Emirates) using Python and the ChatGPT API. The chatbot, named Aisha, was designed to provide quick and efficient reference and support services to students and faculty outside the library’s regular operating hours. The article also discusses the benefits of chatbots in academic libraries, and reviews the early literature on ChatGPT's applicability in this field. The article describes the development process, perceived capabilities and limitations of the bot, and plans for further development. This project represents the first fully reported attempt to explore the potential of a ChatGPT-based bot in academic libraries, and provides insights into the future of AI-based chatbot technology in this context.