AI4LAM
COMMUNITY CALL

October 20, 2026 (15:00 UTC)

PART 1: AI4LAM Innovation Award Recipients

PART 2: Green ICT National Ecosystem

Register here

In the first part of the Community Call we will be delighted to present two of the four winners of the first-ever AI4LAM Innovation Awards. Established to recognize excellence in the application of AI within the GLAM sector, the awards highlight projects and individuals whose work is helping shape the future of cultural heritage.

In the second part of the Community Call, we will explore the broader impact of AI and what responsible AI use means in practice. Join us for a thought-provoking discussion on the environmental, social, and organizational considerations that are becoming increasingly important as AI technologies continue to evolve and expand.

PART 1:
2026 AI4LAM Innovation Award Recipients

Seeing Metadata: AI Glasses in Cataloguing: Enhancing Trust, Context, and Human Oversight in LAM Workflows

This presentation will explore a practical AI implementation in cataloguing through the use of AI-enabled smart glasses for real-time metadata creation and MARC21 record generation. Attendees will learn how a cataloguer can scan a physical book using AI glasses, enabling the system to detect the item, extract bibliographic metadata, and generate a draft MARC21 record while the cataloguer simultaneously carries out essential physical processing tasks.

The session will examine how this approach redefines the concept of “human-in-the-loop” as “trust-in-the-loop,” ensuring that cataloguers remain actively involved in reviewing, validating, and refining AI-generated outputs. Particular attention will be given to the responsible integration of AI into LAM workflows, balancing efficiency, transparency, accountability, and professional expertise.

The presentation will showcase how KBR, the National Library of Belgium, has conceptualized and developed a custom AI-glasses application designed specifically for cataloguing workflows. Through practical examples, participants will discover how the solution supports real-time metadata creation, how it is being integrated into daily operations, and what opportunities and challenges have emerged along the way.

By embedding AI directly into physical cataloguing processes, AI glasses introduce a new interface for metadata creation that keeps professionals firmly in control while benefiting from automation. The session will demonstrate how this “Trust in the Loop” approach can provide a scalable and responsible model for AI adoption across libraries, archives, and museums, opening new possibilities for real-time hybrid workflows and metadata production for a wide range of materials.

Hannes Lowagie

is head of the Bibliographic information agency and the department of the contemporary collections at KBR, the royal library of Belgium. His goals is to make a fluent catalogue workflow that produces standardised structured data. He is also Europe representative in the RDA Board. He has a PhD in History.

Nine Months Is an Eternity: Assessing a Call-to-Action Framework for Content Authenticity and Provenance in the Age of AI

In February 2026, co-authors Kate Murray and Joshua Sternfeld released the open-access report “Content Authenticity and Provenance in the Age of Artificial Intelligence: A Call-to-Action for the LAMs Community.” Working with volunteer contributors from the C2PA and G+LAM Working Group, they recommended a collaborative framework for practitioners and administrators to respond to the challenges artificial intelligence poses for content authenticity and provenance (CAP).

Since its release, the report has received wide and positive response, including the AI4LAM Fantastic Futures Innovation Award for best paper. Murray and Sternfeld presented the call-to-action framework for numerous professional associations, including the Digital Library Federation, Trust in Archives Initiative, National Digital Stewardship Alliance, and several keynote presentations including International Federation of Television Archives (FIAT IFTA) and an AI Summit hosted by the University of Wyoming and Wyoming State Library.

This presentation will serve two purposes by combining a conceptual overview with practical application. In the first part, Murray and Sternfeld will introduce the risks and opportunities associated with AI and CAP, as introduced in the report, and take stock of the latest work/research in CAP from practitioner and scholar perspectives, using their own work as a touchstone. The presentation will reflect upon the progress the LAM community has taken to advance research, work with various public and private sectors, and respond to the rapid pace of technological development.

Kate Murray

is a Digital Projects Coordinator at the Library of Congress where she leads the U.S. Federal Agencies Digital Guidelines Initiative (FADGI) Audio-Visual Working Group and the Sustainability of Digital Formats website. Kate is an active member of many professional organizations including the Association of Moving Image Archivists (AMIA), International Association of Sound and Audiovisual Archivists (IASA) and International Standards Organization (ISO), including committees for PDF and Content Provenance standards. A global leader in digital file formats research and audiovisual preservation, she is the Library of Congress liaison to the PDF Association, Vice Chair of the Digital Preservation Coalition’s (DPC) Executive Board and Vice Chair of the DPC Americas stakeholder committee. Kate received her undergraduate degree in Medieval Literature from Columbia University and her MBIBL from the University of Cape Town.

Joshua Sternfeld

is an independent historian whose work examines artificial intelligence, historical method, and the preservation of digital cultural heritage. His scholarship has appeared in the American Historical Review and Transactions of the American Philosophical Society, and his book, Artificial Intelligence, Historical Data, and Transhistorical Agency, is forthcoming with Cambridge University Press. Joshua’s current research investigates agentic AI and search provenance, with funding from the Institute for Humane Studies. He also publishes the Substack Encoding the Past. Joshua holds a B.A. in History from Princeton University and a Ph.D. in History from the University of California, Los Angeles.

PART 2:
Green ICT National Ecosystem

Artificial Intelligence became popular in the end of 2022 with chat GPT, but the technology of machine learning is over 50 years old. From optimizing logistics to targeting marketing and curating social media feeds, machine learning systems have been used unseen for well over a decade. While the technology is not new, taking into account its climate and environmental factors is and as the AI enabled data center boom sees them pop up like mushrooms, these issues become more pressing than ever. AI’s impact is much more pressing than mere energy consumption. Come hear how far reaching these impacts are in the whole AI value chain and what you should consider when building and using AI models.

Antti Sipilä

has studied sustainability of information technology for 20 years and currently works as Green ICT project manager and sustainable information society development specialist at TIEKE Finnish Information Society Development Centre NGO. He has authored a book called Sustainable ICT in 2012 and regularly publishes scientific articles on the subject.