https://sadil.ws/handle/123456789/7 2026-04-21T21:17:24Z 2026-04-21T21:17:24Z Mannheimer, Sara Rossmann, Doralyn Clark, Jason Shorish, Yasmeen Bond, Natalie Kettler, Hannah Scates Sheehey, Bonnie Young, Scott W. H https://sadil.ws/handle/123456789/4614 2024-12-08T23:30:38Z 2024-03-06T00:00:00Z

Introduction to the Special Issue: Responsible AI in Libraries and Archives Mannheimer, Sara; Rossmann, Doralyn; Clark, Jason; Shorish, Yasmeen; Bond, Natalie; Kettler, Hannah Scates; Sheehey, Bonnie; Young, Scott W. H Librarians and archivists are often early adopters and experimenters with new technologies. Our field is also interested in critically engaging with technology, and we are well-positioned to be leaders in the slow and careful consideration of new technologies. Therefore, as librarians and archivists have begun using artificial intelligence (AI) to enhance library services, we also aim to interrogate the ethical issues that arise while using AI to enhance collection description and discovery and streamline reference services and teaching. The IMLS-funded Responsible AI in Libraries and Archives project aims to create resources that will help practitioners make ethical decisions when implementing AI in their work. The case studies in this special issue are one such resource. Seven overarching ethical issues come to light in these case studies—privacy, consent, accuracy, labor considerations, the digital divide, bias, and transparency. This introduction reviews each issue and describes strategies suggested by case study authors to reduce harms and mitigate these issues 6 p.

2024-03-06T00:00:00Z Anandraj, K.C Kannan, A. https://sadil.ws/handle/123456789/4613 2024-11-22T02:21:23Z 2024-01-01T00:00:00Z

Integrating Google AI: Enhancing Library Services for the Digital Age Anandraj, K.C; Kannan, A. This research study investigates the potential applications of Google AI tools in library services. Through the utilization of a wide variety of data sources, the methodology that was utilized in this study aimed to achieve a full understanding of the incorporation and utilization of Google AI technologies in library services. The utilization of direct data gathering from the Google AI website serves as a significant resource that enables the research of the functions, features, and applications of Google AI tools that are pertinent to library services. Several artificial intelligence (AI) products developed by Google are discussed in this article. These tools include Google Scholar, Google Cloud Vision, Google Natural Language API, and Google Dialog flow, among others. The functions, strengths, and limits of these systems, as well as possible applications in library settings, are analyzed. In addition, the article discussion of the usefulness and efficiency of Google AI tools, as well as the best practices and methods for efficiently integrating Google AI tools into library services. The purpose of this article is to provide library professionals with information regarding the opportunities and problems associated with integrating Google AI capabilities into library services. This will be accomplished by combining most recent research and highlighting new techniques. 10 p. (117-125) (PDF)

2024-01-01T00:00:00Z Satija, M P Martinez-Avila, Daniel https://sadil.ws/handle/123456789/4612 2024-11-22T02:02:57Z 2015-01-01T00:00:00Z

Features, Functions and Components of a Library Classification System in the LIS tradition for the e-Environment Satija, M P; Martinez-Avila, Daniel This paper describes qualities of a library classification system that are commonly discussed in the LIS tradition and literature, and explains such a system’s three main functions, namely knowledge mapping, information retrieval, and shelf arrangement. In this vein, the paper states the functional requirements of bibliographic classifications, which broadly are subject collocation and facilitation of browsing the collection. It explains with details the com ponents of a library classification system and their functions. The major components are schedules, notations, and index. It also states their distinguished features, such as generalia class, form divisions, book numbers, and devices for number synthesis which are not required in a knowledge classification. It illustrates with examples from the WebDewey good examples of added features of an online library classification system. It emphasizes that institu tional backup and a revision machinery are essential for a classification to survive and remain relevant in the print and e-environment 16 p. (62-77) (PDF)

2015-01-01T00:00:00Z Rahmani, Mehdi https://sadil.ws/handle/123456789/4611 2024-11-22T01:42:59Z 2023-10-01T00:00:00Z

Exploring the Integration of AI in Public Library Services Rahmani, Mehdi This study aims to explore the extent of AI integration in public libraries, identify the benefits and challenges faced by libraries in adopting AI technologies, and propose strategies for effective implementation. It seeks to provide a comprehensive overview of the current state of AI applications in library services and offer insights into future trends. Employing a qualitative research design, this study collected data through semi-structured interviews with 29 participants, including librarians, IT specialists, library managers, and library users. Thematic analysis was used to analyze the interview transcripts, allowing for the identification of key themes related to AI integration in public libraries. Four main themes emerged from the data: AI Applications, Challenges and Responses, Service Evolution, and Adoption and Integration. AI Applications were categorized into User Interaction, Operational Tasks, and Learning Tools, highlighting AI's role in enhancing service delivery and operational efficiency. Challenges and Responses revealed technical barriers, staff training needs, user engagement issues, and financial constraints as significant obstacles to AI adoption. Service Evolution demonstrated AI's impact on information accessibility, user experience, operational improvements, and community outreach. Adoption and Integration emphasized the importance of strategic planning, community involvement, and policy compliance in successfully integrating AI into library services. The study concludes that while AI offers substantial opportunities to redefine public library services, its successful integration requires addressing technical, ethical, and financial challenges. Libraries must focus on staff training, ethical AI use, and strategic planning to fully realize the benefits of AI. Future research should aim to quantify the impact of AI on library services and explore innovative AI applications in diverse library contexts 7 p. (33-39) (PDF)

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