GLAMorous AI TL; DR — February 2026

Who Speaks When AI Listens to Community Heritage?

Author

Alphaeus Lien-Talks
February 20, 2026

“AI systems do not magically make community knowledge visible. They amplify what is captured, labelled, and governed. The question is not just what they reveal, but whose voices they make audible.”

This edition explores AI research and practice at the intersection of community heritage, language preservation, oral traditions, accessibility, and engagement.

🎤 AI for Oral History & Endangered Languages

Dueck — Using AI to Help Preserve Indigenous Oral Histories
This conference paper presents an AI-driven approach to speech segmentation, automatic transcription, and translation designed for Indigenous oral histories. It specifically applies AI-based speech recognition to a low-resource Indigenous language (Enlhet), with a focus on community collaboration and linguistic preservation rather than generic commercial models.
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Koc - Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges
This preprint examines how generative AI and LLMs can contribute to the recording, support, and revitalisation of endangered languages, while also discussing risks such as bias in training data and ethical limits to generative language capability.

Yang et al. - NushuRescue: Revitalization of the Endangered Nushu Language with AI
A technical AI framework designed to train models on extremely low-resource linguistic data to support language revitalisation efforts, demonstrating that AI can expand parallel corpora and accelerate translation work for endangered scripts.

📍 What this means for community heritage: AI can help document and translate oral traditions and endangered languages, but the success of these efforts depends on culturally appropriate data, human oversight, and ethical governance.

🌍 AI + Indigenous Knowledge Governance & Representation

Spano and Zhang - Indigenous data sovereignty in intangible cultural heritage governance: A complementary approach to public–private partnerships
This article, while not exclusively about AI, frames risks that arise when digital technologies are used to document and manage Indigenous cultural knowledge, highlighting the danger of “data colonialism” and the need to embed sovereignty principles before deploying AI tools over community archives.

Bouich et al. - iREAL: Inclusive Requirements Elicitation for AI in Libraries to Support Respectful Management of Indigenous Knowledges. Literature Review 
This technical work focuses on increasing agency and Indigenous self-determination within GLAM institutions using AI workflows, emphasising participatory design and community control over how AI technologies interact with heritage materials.

Kasosi - Indigenous Peoples and AI: Defending Rights, Shaping the Future of Technology
A policy and community practice report explaining how Indigenous groups are already using AI tools to digitise languages, transcribe oral traditions, and advocate for rights, while foregrounding that community governance must be central to these initiatives.

📍 Why this matters: AI can easily reproduce existing power imbalances if community authority over what is digitised, classified or translated is not built into project design and governance.

👥 AI and Engagement with Local Narratives

He et al. - "I Recall the Past": Exploring How People Collaborate with Generative AI to Create Cultural Heritage Narratives
This study investigates how people use generative AI tools to co-create visual and narrative representations of heritage, revealing both the promise and limitations of AI in reflecting local stories, and the need for careful dataset curation and domain knowledge in model design.

Auala et al. - Creating a Responsible AI Framework for Cultural Validity: Exploring Heritage Futures with an Ovahimba Indigenous Community of Namibia
Presents a co-design framework where communities help define what culturally valid AI output looks like - a step beyond technical accuracy toward co-owned cultural interpretation.

📍 Engagement note: AI can enable new forms of creative participation and narrative expression, but only when models and workflows are meaningfully co-designed with communities rather than imposed as generic solutions.

🔧 AI for Accessibility & Inclusive Interaction

UNESCO — Artificial Intelligence and Culture Report (2025)
This global report examines how AI tools are being deployed across culture and heritage — including transcription of performance practices, documentation of oral traditions, and expanding public access to intangible cultural expressions — while also highlighting risks around equity, bias, and the digital divide.

📍 Accessibility takeaway: AI’s strength lies in processing scale and aiding access, but deep inclusion requires technologies that understand the social and linguistic context of the communities whose heritage is at stake.

❓ Big Question

If AI increasingly shapes
which voices are transcribed,
which languages are represented,
whose narratives are amplified,

Who decides when AI gets it right — and who gets to correct it?

💬 About

I’m Alfie, a researcher and archaeologist exploring where heritage, ethics, and AI meet.
This digest keeps things short, critical, and useful — no jargon, no hype.

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