Awesome AI for LAM
A curated list of resources, projects, and tools for using Artificial Intelligence in Libraries, Archives, and Museums.
Contents
Introduction
This list is a collection of resources, tools, projects, and other materials for professionals and enthusiasts in the Libraries, Archives, and Museums (LAM) sector. You might also know this as the GLAM (galleries, libraries, archives and museums) or CHI (cultural heritage institutions) sector, or be more familiar with the term ‘memory institutions’. However you describe the field, if you know of an AI, machine learning, big data or data science project, event or resource related to collections, please share it here!
This list is maintained by the AI4LAM community. Its aim is to support knowledge sharing, innovation, and collaboration in applying AI to LAM.
Learning Resources
Please note: the appearance of a resource on this list does not constitute an official endorsement by AI4LAM.
Introductions to AI
Computer vision
Natural language processing
Generative AI
AI in galleries, libraries, archives and museums
Other “awesome” lists in AI and ML
Note: datasets for training and testing are listed in a separate section of this document.
Document analysis, transcription, and labeling
Audio and video analysis, transcription, and labeling
- Acoustic models from the National Library of Sweden – available on Hugging Face
- Annotorious – JavaScript image annotation library
- Audiovisual Metadata Platform (AMP) – generation of metadata for discovery & use of digital audio & video collections (Indiana U., USA)
- CAMPI – Computer-Aided Metadata Generation for Photo archives Initiative (Carnegie Mellonw U., USA)
- ELAN – addS textual annotations to audio and/or video recordings (Max Planck Institute for Psycholinguistics, The Netherlands)
- inaFaceAnalyzer – Python toolbox for face-based description of gender representation in media (Institut National de l’Audiovisuel, France)
- Newspaper Navigator – explore visual & textual content in the Chronicling America digitized newspaper collection (Library of Congress, USA)
- Oodi – virtual information assistant (Helsinki Central Library)
- ReTV – video analysis & summarization (Modul Univesrity, Austria)
- VGG Image Annotator – manual annotation software for image, audio and video
Indexing and classification
Search and retrieval
Datasets
Datasets available on Hugging Face
There are many (G)LAM-related datasets on Hugging Face. The following links will perform live searches directly in Hugging Face for datasets tagged with the given terms:
Datasets available elsewhere
Projects, Initiatives, and Case Studies
Project lists & directories
Select individual projects
Policies and recommendations
Statements by organizations and government bodies
Surveys of policies and recommendations
- A cluster analysis of national AI strategies – Brookings Institute analysis of different countries’ national AI strategies, Dec. 2023
- A principled governance for emerging AI regimes: lessons from China, the European Union, and the United States by R. B. L. Dixon in AI and Ethics, 3, 793–810, 2023
- AI Governance Alliance: Briefing Paper Series – by the World Economic Forum, Jan. 2024
- AI policies across the globe: Implications and recommendations for libraries by L. S. Lo in IFLA Journal, 49(4), 645–649, 2023
- Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI by Fjeld et al, Berkman Klein Center Research Publication No. 2020-1, 2020
- What ethics do I need to consider when using AI? – blog posting by Livi Adu, Nov. 2023
- Responsible AI in Libraries and Archives - IMLS funded project to produce tools and strategies that support responsible use of AI in the field (2022-2025)
Frameworks
Conferences and Workshops
The annual Fantastic Futures conference is the main conference series for the AI4LAM community. Various other conferences and workshops are relevant to the community and may be included in the list below.
Upcoming Conferences and Workshops
👋🏻 Note: AI4LAM’s conferences tracker Google sheet has a more complete list of events. The following is a list of larger and/or especially relevant events for AI4LAM.
- BitCurator Forum – Mar. 19–22 virtual event on digital forensics, digital archives, and related digital analysis workflows
- IIPC General Assembly & Web Archiving Conference – Apr. 24–26 at the Bibliothèque nationale de France, Paris, France.
- Digital Library Federation (DLF) 2024 Forum – Jul. 29–31 at Michigan State U., East Lansing, Michigan, USA.
- International Conference on Document Analysis and Recognition (ICDAR) 2024 – Aug. 30–Sep. 4 in Athens, Greece.
- International Conference on Digital Preservation (iPRES) 2024 – Sep. 16–20 in Ghent & Flanders, Belgium.
- Fantastic Futures 2024 – Oct. 16–18 at the National Film and Sound Archive of Australia (NFSA), Canberra, Australia.
- ai4Libraries Conference – Oct. 23 and/or 24 virtual event hosted by Georgia Tech Library, Atlanta, Georgia, USA.
Past Conferences and Workshops
- Fantastic Futures 2018 – Dec. 5 at the National Library of Norway, Oslo, Norway.
- Fantastic Futures 2019 – Dec. 4–6 at Stanford University, Stanford, California, USA.
- Fantastic Futures 2021 – Dec. 8–10 at the Bibliothèque nationale de France, Paris, France.
- Fantastic Futures 2022 – Nov. 30–Dec. 2 virtual event hosted by the British Library, London, England.
- ai4Libraries Conference – Oct. 19 virtual event hosted by Georgia Tech Library, Atlanta, Georgia, USA.
- Fantastic Futures 2023 – Nov. 15–17 at Internet Archive Canada Headquarters, Vancouver, British Columbia, Canada.
- Fantastic Futures 2024 – Oct. 15–18 at The National Film and Sound Archive of Australia (NFSA) in Canberra, Australia.
Publications and News Sources
Journals and Magazines
News sources
The AI4LAM community’s home page is https://ai4lam.org. The secretariat and other contact addresses can be found at the About page.
Contributions
Your help and participation in enhancing this awesome list are very much welcome! Please use the issue ticket system to request additions or changes, or to make other contributions to this repository. For more information, please visit the guidelines for contributing.
License
The contents of this page are licensed under the Creative Commons CC0 1.0 Universal license. CC0 is a “no rights reserved” license; the authors relinquish copyright and similar rights to the contents of the Awesome AI for LAM list.