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Category: Artificial Intelligence

A screen grab depicting the user stories where C2PA standards could be useful. Text reads, "User Stories Organized by Content Lifecycle Model Steps 1. Content and Records Creation 1.1 How can C2PA document tools, including AI tools, used for descriptive metadata generation? 1.2 How can C2PA identify and potentially limit access to datasets for AI model training based on if the dataset content was human-created, AI created or a mix of both? 1.3 How can C2PA identify and potentially limit access to content for AI model training based on Copyright status? 1.4 How can C2PA be used to document the creation process, including digital tools, for new content to establish the baseline provenance data? 1.5 How can C2PA be leveraged to establish the provenance of open access publications governed by CC BY 4.o license variations? 1.6 How can C2PA be incorporated into audio digitization preservation processes to document provenance and continuity? 2. Maintenance and Use 2.1 How can C2PA be used to document stewardship of specific instances of content? 2.2 What role can C2PA play in documenting image accuracy of historical maps? 3. Accessioning and Processing 3.1 How can C2PA be leveraged in the acquisition process if incoming content already has C2PA? 3.2 What role can C2PA play for documenting images of artifacts for determining origination? 4. Preservation 4.1 How can C2PA enable provenance chains for any non-C2PA files? 4.2 How can C2PA relate or document derivative files with their authentic original or preservation/access copies of the same content item? 5. Access 5.1 How can C2PA be applied to “certify” the accuracy and completeness of copies of records generated for online access and in response to research requests? 5.2 How can C2PA be used to ensure the authenticity of redacted records? "

New Community of Practice for Exploring Content Provenance and Authenticity in the Age of AI

Posted by: Isabel Brador

Today’s post is from Abbey Potter and Isabel Brador of the Digital Strategy Directorate and Kate Murray of the Digital Collections Management & Services Division here at the Library of Congress. Since January 2025, a new Library of Congress working group has been exploring ways to bring responsible AI together with digital preservation through an …

Black and white photograph depicting a woman in a long dress crouching by a wall of card catalog file cabinets in the Library's Main Reading Room. She is pulling open a drawer from one of the cabinets.

Could Artificial Intelligence Help Catalog Thousands of Digital Library Books? An Interview with Abigail Potter and Caroline Saccucci

Posted by: Isabel Brador

Catalog records are key to storing and finding digital library materials. As the volume of digital materials continues to grow rapidly, the Library of Congress is exploring whether AI can help catalogers by automating the generation of metadata. AI could provide an opportunity to speed up description workflows. Yet there are numerous machine learning (ML) …

Dozens of squares, each with its own individual color or shade, lined up in rows and columns

AI4LAM / Fantastic Futures

Posted by: Pedro Gonzalez-Fernandez

The explosion of interest surrounding Artificial Intelligence (AI) will clearly have a tremendous impact on the world of galleries, libraries, archives, and museums (GLAM). The Library of Congress is exploring how certain AI use cases can help expand access to our collection, enhance services for users, and improve efficiency. We are still in the early …

Why Experiment: Machine Learning at the Library of Congress  

Posted by: Laurie Allen

Why Machine Learning? Everyone at the Library of Congress wants the materials we steward and the services we offer to be useful for as many people as possible. It’s why we do what we do! And across the Library, staff have long relied on technological innovations to enable people to use our materials to become …

Dozens of squares, each with its own individual color or shade, lined up in rows and columns

Strategic Plan 2.0: A Digitally-Infused Five-Year Plan

Posted by: Leah Weinryb-Grohsgal

For decades, digital technologies have rewritten the playbook for government agencies, libraries, and cultural heritage organizations. The Library of Congress has investigated, implemented, and even invented new digital approaches and technical methods since the 1950s, aspiring better to serve Congress and the American people with each new technical turn. Today, technology fuels everything we do, …

A list of seven principles for adopting machine learning derived from LC Labs experimentation, reports, and user feedback.

Grounding iterative experimentation with LC Labs: CCHC and Machine Learning

Posted by: Meghan Ferriter

Across the last five years, LC Labs experiments have integrated sundry perspectives and disciplines to connect people, practice, and history; from making collections more legible and discoverable through volunteer crowdsourcing efforts with Beyond Words and By the People, to developing frameworks for ethically engaging people when adopting machine learning with Humans in the Loop, to …