This resource summarizes key points from small group discussions among librarians during a virtual event hosted by OCLC (Online Computer Library Center) and LIBER (the Association of European Research Libraries) on April 17, 2024. The event focused on AI and machine learning, capturing librarians’ sentiments, concerns about the future of AI, AI use cases in libraries, and the need for responsible AI practices and AI literacy.

Focusing on school libraries, the authors discuss how AI can enhance accessibility and learning. Specifically, generative AI tools can assist in re-leveling, outlining, summarizing, narrating, and removing distractions, benefiting students with different learning needs.

This article is a summary of the Association of Research Libraries (ARL) Spring Meeting in Boston. The meeting examined the recently released AI strategy report by ARL and the Coalition for Networked Information (CNI), titled ARL/CNI 2035 Scenarios: AI-influenced Futures in the Research Environment.

This is the final report of one of the research studies of the InterPARES Trust AI project, which dedicates to leveraging AI to support the access of public records, research, training, and establishing partnership between academia, archival institutions, government agencies, and industry.

This article discussed the practical applications of ChatGPT in the library context using a full text collection at the Library of Congress. Through presenting several cases, the author explores how generative AI tools like ChatGPT may transform workflows in libraries and archives to enhance resource access and discovery.

This article is a blog post written by Locran Dempsey, an internationally well-recognized librarian who has worked at libraries, non-profit, and educational organizations.

This article features an interview conducted by the Association of Research Libraries (ARL) senior director of Scholarship and Policy, Judy Ruttenberg.

This article features an interview conducted by Katherine Klosek, the director of Information Policy at the Association of Research Libraries (ARL). The interviewee is Betsy Rosenblatt, a professor at the University of Tulsa College of Law.

Published by the Association of College & Research Libraries (ACRL), this book covers the implications and applications of AI in academic libraries.

Recognizing the need to update information systems in libraries and better serve users’ needs, this book provides insights and strategies to integrate AI tools and technologies to modernize library information systems and operations.

As part of the MIT Press Essential Knowledge series, this book presents a synthesis of variant ethical issues regarding AI applications and addresses concrete questions.

While not specifically focusing on libraries, this book discusses the variant roles AI could play in our daily lives, and its impact on education, creation, work, and beyond.

This hands-on tutorial introduces computer vision (CV) and machine learning (ML) techniques in the context of historical archives. Using Python 3.0, participants will learn to extract and classify human faces from archival images and explore the application of pre-trained image recognition models for cultural heritage research.

The AI Pedagogy Project, developed by metaLAB (at) Harvard, is an open-access initiative that equips librarians to engage with artificial intelligence in both instructional and public service settings. The site introduces core AI concepts, including policy considerations and hands-on tutorials for tools like ChatGPT.

Recognizing the disruptive yet transformative nature of AI, IDEA (Innovation, Disruption, Enquiry, Access) institute on AI provides one-week professional development programs for library and information professionals annually.

This resource is the ai4Libraires website. Coordinated by librarians, ai4Libraries has been hosting free annual virtual conferences in October since 2023. The goal is to provide a platform for librarians, subject experts, and practitioners to exchange ideas and share experiences related to AI in library services.

In 2021, the ai4LAM cohosted a series of five workshops with LIBER and BnF. From March 29 to April 2, these workshops provide training opportunities for librarians, domain experts, and information professionals who are interested in applying AI in GLAM (galleries, libraries, archives, and museums) to learn and share tools and experiences with the community.

In 2021, the ASIS&T (Association for Information Science & Technology) special interest group (SIG) on AI was established. The group provides a platform for discussing the development and design, research, and application of AI in information science and technology.

UNESCO has been hosting global forums on the ethics of AI since 2022. This is the website of the third (2025) forum. The forums provide a global platform for policy makers, experts, scholars, and business leaders to share knowledge and experiences on developing AI policies and institutions that enhance progress while addressing risks and ethical concerns.

This document created by Library of Congress PCC provides cataloging guidance for resources created using AI software.

This resource is a guideline in the form of a planning framework, developed and shared by the Library of Congress (LC) Labs to support the responsible exploration and adoption of Artificial Intelligence (AI) and Machine Learning (ML) technologies within the Library of Congress.

Created by Thomas Padilla, Hannah Scates Kettler, Stewart Varner, and Yasmeen Shorish, the Vancouver Statement on Collections-as-Data is a guideline that addresses how galleries, libraries, archives, and museums (GLAM) institutions can support the responsible development and use of collections as data.

This policy guideline issued by the Library Copyright Alliance (LCA) outlines the LCA’s positions on legal issues at the intersection of U.S. copyright law and artificial intelligence (AI).

Episode 360, “The Intersection of Critical Thinking Skills and AI: Tactics for Effective Use” serves to emphasize the value of hands-on experiences with generative AI for students, faculty and librarians. Alongside host Bill Mickey, expert guests explore how AI experiences lead to a deeper understanding of research, creativity, and learning.

Episode 361, “The Intersection of Critical Thinking Skills and AI: Ethics, Governance, and Policy” serves to explore the current AI governance landscape. Alongside host Bill Mickey, expert guests explore how development of AI governance policies requires a multi-stakeholder approach. Within the context of higher education institutions, this implies that effective AI governance is the direct result of collaboration between the administration, faculty, librarians and student body.

Episode 362, “The Intersection of Critical Thinking Skills and AI: Current Strategies and Moving Forward” serves to explore the current AI governance landscape. Alongside host Bill Mickey, expert guests explore opportunities within the realm of AI. The opportunities highlighted in this episode include professional knowledge sharing for AI literacy and the exploration of AI for scholarly communication.

This is an episode of the podcast Library Talks, created and curated by the New York Public Library (NYPL). A panel of experts, including scholars, writer, and leaders, discussed the impact of AI and ethical concerns about AI.

This resource introduces a one-year research project funded by the Arts and Humanities Research Council in UK. The project aims to understand the key parameters and paradigms of AI in the context of museums, and understand the ethical implications of AI within a museum context.

Conducted by the International Federation of Library Associations and Institutions (IFLA) Artificial Intelligence Special Interest Group (AI SIG), this project develops a working document that focuses on assisting libraries formulating strategic response to AI.

Funded by the Institute of Museum and Library Services (IMLS), the goal of this project is to promote responsible use of AI in libraries and archives.

This Ethics of AI webpage is under the UNESCO website. There are several resources centered around ethical AI.

This resource is the final report of the 2023 PCC Task Group on AI and Machine Learning for Cataloging and Metadata. Formed in December 2023, the task group assessed AI’s current impact on cataloging through a survey distributed in March 2024.

The surveys aim to understand ARL members’ perspectives on the key aspects of AI in libraries. Specifically, the surveys investigate members’ views on the potential impact of AI on library services, the extent of current AI exploration and implementation, and the identification of relevant AI applications in libraries.

This is the final report of the EuropeanaTech AI task force. The task force was established in 2019 to investigate the role and impact of AI and machine learning in the cultural heritage sector. Through the report, the task force aims to facilitate the innovative, ethical and sustainable growth of AI technologies in cultural heritage institutions.

This resource is a report that aims to better understand the implications of AI in libraries. As a Digital futures research report, it presents the results of the Artificial Intelligence (AI) in Libraries Project at the University of Leeds Libraries.

This is a library guide compiled by a librarian at Florida International University Libraries.

This is a resource list compiled and curated by AI4LAM (Artificial Intelligence for Libraries, Archives, and Museums) community. It features a collection of resources to support the application of artificial intelligence across the LAM sector.

This is the YouTube channel of Choice. It is a publishing unit of the Association of College & Research Libraries (ACRL), a division of the American Library Association (ALA).

This video records a learning session organized by the United Nations Library & Archives Geneva. The two speakers are both from the Library of Congress (LC).

This is a video recording of an online presentation at the Association of College and Research Libraries (ACRL) Leadership Discussion Group. The speaker is Thomas Padilla at the Internet Archive. Padilla discussed the challenges of implementing AI in the library context, and the positions GLAM (galleries, libraries, archives, and museums) professionals should take.