IFLA Repository
The IFLA Repository was established to collect and disseminate works by the global IFLA community. Here you can explore IFLA Standards, key publications, core documents and much more. Items in the repository are integrated with our main website, IFLA.org, as “Resources” and displayed in a separate Resources page of the website, as well as in relevant unit or topic pages.
If you have questions about this site, please contact repository@ifla.org.

Recent Submissions
Item type: Item , AI and Copyright Literacy in the UK Policy Context(International Federation of Library Associations and Institutions (IFLA), 2025-10) Secker, Jane; Morrison, ChrisThis presentation addresses the rapidly evolving legal and practical challenges arising from the intersection of Artificial Intelligence (AI) and copyright law, with a specific focus on the United Kingdom's public policy context. The session examines the UK government's official consultations and proposed regulatory paths for AI, setting the high-level framework that will govern future practice. The core of the discussion explores the practical effects of this uncertainty, particularly where "copyright anxiety meets AI anxiety" within the academic sector. It examines the real-world questions and challenges currently facing library practitioners and staff in teaching and research environments. Ultimately, the presentation advocates for a focus on practical strategies and highlights the crucial need for enhanced Copyright and AI Literacy to empower the sector in navigating this new regulatory and technological future. (presented on 15 August 2025 at "Copyright and Other Legal Implications of AI" session)Item type: Item , The U.S. Copyright Office’s Report on AI and Copyright(International Federation of Library Associations and Institutions (IFLA), 2025-10) Weston, ChrisThis presentation offers an essential overview of the U.S. Copyright Office's (USCO) comprehensive multi-part report on Artificial Intelligence (AI) and its complex implications for copyright law and policy. Drawing on extensive public consultation, including a Notice of Inquiry that yielded thousands of comments, the USCO has analyzed the most critical legal tensions at the intersection of creative rights and technological development. The session highlights the authoritative source and timely nature of the US government’s key findings regarding the future legal landscape. It frames the discussion around three major axes: the use of copyrighted works for AI training data, the determination of copyrightability for AI-generated output, and the challenging regulatory and licensing solutions being considered. It gives insight into the policy direction that will shape how libraries, creators, and AI developers interact with content in the digital age. (presented on 15 August 2025 at "Copyright and Other Legal Implications of AI" session)Item type: Item , Choose Carefully: AI Regulation, Copyright, and the Recement IFLA Statement(International Federation of Library Associations and Institutions (IFLA), 2025-10) Wyber, StepheneThis presentation examines the critical policy and regulatory tensions surrounding the rise of Artificial Intelligence (AI), framing the debate around the core question: What is the desired information environment of the future? It explores four key axes of debate—copyright, safety, regulation, and politics—highlighting the conflict between compensation models and fair use principles for text and data mining (TDM). The session makes the case for libraries to be central actors in this debate, advocating for their roles as information fiduciaries who keep users safe and as champions of knowledge inclusion that enable all people to access and create information. Finally, the presentation outlines the key tenets of the IFLA Statement on Copyright and Artificial Intelligence (April 2025), setting forth specific recommendations for libraries, governments, and rightsholders to ensure a responsible and ethical path forward for AI development. (presented on 15 August 2025 at "Copyright and Other Legal Implications of AI" session)Item type: Item , Catalysing Change: An AI Roadmap for Cataloguers at the National Library Board of Singapore (NLB)(International Federation of Library Associations and Institutions (IFLA), 2025-10) Jailani, HalizaThis presentation outlines the National Library Board Singapore’s (NLB) comprehensive roadmap for integrating Artificial Intelligence (AI) into cataloging workflows to enhance efficiency, accuracy, and metadata enrichment. With more than three million bibliographic records and over a million name headings to manage, NLB is leveraging machine learning (ML) and AI tools to modernize cataloging processes while maintaining data quality and precision. The AI roadmap combines staff upskilling and experimentation through six proof-of-concept (POC) projects. By cultivating AI literacy among cataloguers and refining human–AI collaboration, NLB is building a sustainable and scalable model for metadata innovation. The presentation shares key learnings and outlines next steps toward integrating AI tools responsibly and effectively into national cataloging practices. (presented on 15 August 2025 at "Institutional Responses to AI: Libraries, Standards Bodies and Bibliographic Agencies in Transition" session)Item type: Item , Accessibility and Digital Repositories: Describing Digital Collections using LLMs(International Federation of Library Associations and Institutions (IFLA), 2025-10) Schlaack, Anna; Luke, Stephanie; Stein Kenfield, AylaIn April 2024, the United States Department of Justice announced web accessibility regulations that require all state and local governments to make their websites, mobile apps, and content accessible as prescribed by U.S. law. This prompted the University of Illinois Urbana-Champaign (U of I) Library to both evaluate the accessibility of our repository systems and the content we steward, and also review how digital assets are created. Broadly, there are three areas of focus for digital accessibility in our repositories: user interfaces, existing digital assets, and future digital asset creation. The University of Illinois boasts one of the largest physical library collections in the United States and hosts more than more than 3 million digital assets across our repository services, including digitized newspapers, special collections, scholarship, and digitized books. The content creation, ingest pipelines, and homegrown repositories have not been designed with accessibility first, making adherence to the web accessibility requirements a daunting challenge. U of I librarians and staff are investigating whether multimodal large language models (LLMs) can be leveraged to meet the technical accessibility requirements for description of digital assets. The authors designed a pilot project to generate alternative text (i.e., alt text) using a local installation of Meta’s pre-trained Llama 3.2-Vision. Our preliminary findings suggest that, while it’s a viable tool to describe some types of images, there are certain technical issues that need to be addressed before it could be implemented into daily workflows. Strategies to address the ethical challenges of using LLMs also need to be addressed, including environmental impact, copyright issues with LLM training, and bias inherent in the description of cultural heritage alt text. Our presentation shares the challenges and successes of the pilot project and discusses our institution’s possible approach to alt text creation based on the findings of this pilot. (presented on 15 August 2025 at "Pushing Boundaries to Next Generation Cataloguing: Experiments at the Edge of AI and Metadata" session)