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X-ORIGINAL-URL:https://netpreserve.org/
X-WR-CALNAME:IIPC
X-WR-CALDESC:International Internet Preservation Consortium
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X-LIC-LOCATION:UTC
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TZOFFSETFROM:+0000
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DTSTART:20261109T172448
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DTSTART;TZID=UTC:20260915T000000
DTEND;TZID=UTC:20260916T000000
DTSTAMP:20260814T160809Z
CREATED:20260814
LAST-MODIFIED:20260814
PRIORITY:5
SEQUENCE:8
TRANSP:OPAQUE
SUMMARY:AI and web archiving workshop: AI4LAM affiliate event 
DESCRIPTION:\n\nDate: September 15, 2026\n Location: Library of Congress\n Time: 09:30-15:00\nArtificial intelligence is rapidly reshaping how organizations collect, process, analyze, and provide access to web archives. This workshop brings together web archiving practitioners, researchers, and other interested community members to explore the current AI landscape in web archiving and discuss future opportunities for collaboration.\nThe event will combine short presentations and interactive discussions to map current projects, identify emerging use cases, and share lessons learned from ongoing experimentation. Participants will also have the opportunity to collectively explore future directions for AI in web archiving, including potential recommendations, best practices, community activities, and areas where further guidance may be needed.\nWhether you are already applying AI in your work or are simply interested in understanding its potential impact on web archiving, we welcome your participation.\nProgram\nPlease note that this is a preliminary schedule and may change. We will distribute the final version once all submissions have been added.\n09:30-10:00 | Welcome and introductions\n\nWorkshop overview\nKey takeaways from the AI Literacy and Learning for LAMs Summit at the Library of Congress (July 2026)\n\n10:00-11:00 | AI and web archiving: current landscape\n\nOverview of recent developments and literature\nCommunity presentations on:\n\nCurrent use cases\nWork in progress\nFuture plans\n\n\nParticipants interested in presenting are invited to submit a proposal via the workshop form.\n\n11:00-11:15 | Break\n11:15-12:00 | Visioning session\n\nWhat would we like AI to do for web archiving?\nIdentifying opportunities, challenges, and unmet needs\n\n12:00-13:00 | Lunch\n13:00-14:30 | Collaborative workshop\n\nInteractive brainstorming and discussion sessions to explore:\n\nPriority areas for community action\nPotential recommendations and best practices\nShared guidance, resources, and future activities\n\n\n\n14:30-15:00 | Next steps and wrap-up\n\nKey findings and emerging themes\nOpportunities for continuing collaboration\n\n \nBibliography:\nAuthenticity\n\nCargnelutti – Towards “deep fake” web archives? Trying to forge WARC files using ChatGPT (https://lil.law.harvard.edu/blog/2023/01/13/chatgpt-web-archives/)\n\nDescription\n\nPandi, et al. – Can LLMs categorize the specialized documents from web archives in a better way? (https://www.cs.uic.edu/~cornelia/papers/2024.JCDL.pdf)\nZhang – Towards a Digital Archivist: Applications of LLMs in Automated Web Archive Description (https://dl.acm.org/doi/10.1007/978-981-95-4861-3_40)\n\nDiscovery\n\nBalakireva – Evaluating Memento Service Optimizations (https://arxiv.org/abs/1906.00058)\nDeeds, et al. – GovScape: A Public Multimodal Search System for 70 Million Pages of Government PDFs (http://arxiv.org/abs/2511.11010)\nWARC-GPT\n\nDavis – Retrieval-Augmented Generation for Web Archives: A Comparative Study of WARC-GPT and a Custom Pipeline (https://journal.code4lib.org/articles/18555)\nCargnelutti, et al. – WARC-GPT: An Open-Source Tool for Exploring Web Archives Using AI (https://lil.law.harvard.edu/blog/2024/02/12/warc-gpt-an-open-source-tool-for-exploring-web-archives-with-ai/)\n\n\n\nLegal\n\nTaylor – AI for Temporal Web Forensics (https://nullhandle.org/blog/2025-08-20-ai-for-temporal-web-forensics.html)\n\nTraining Data\n\nGraham – Preserving The Web Is Not The Problem. Losing It Is. (https://www.techdirt.com/2026/02/17/preserving-the-web-is-not-the-problem-losing-it-is/)\nNagel and Vaughan – Robots.txt and Crawler Politeness in the Age of Generative AI (https://digital.library.unt.edu/ark:/67531/metadc2472442/)\n\n\n\n
URL:https://netpreserve.org/event/ff2026-affiliate-event-workshop/
CATEGORIES:Conference,External event,iPRES
LOCATION:Library of Congress, Independence Avenue Southeast, Washington, DC, USA
ATTACH;FMTTYPE=image/png:https://netpreserve.org/resources/IIPC-affiliate-event-at-FF2026-scaled.png
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