The Linguistic Marginalization of Low-Resource Languages: Confronting AI's Limits in Digital Cultural Heritage

Дата публикации: 16-09-2026 00:00:00

ABSTRACT: Cultural-heritage institutions are increasingly digitizing vast collections to preserve and make accessible the histories of diverse communities, including those forcibly displaced. However, a significant and often overlooked challenge in this endeavor lies in the inherent limitations of current artificial intelligence (AI) models, particularly for non-English and low-resource linguistic communities. This article examines how the scarcity and inadequacy of AI tools for languages such as Palestinian Arabic impede deep scholarly and public engagement with crucial historical narratives. Drawing on a detailed case study of the Palestinian Oral History Archive, this article illustrates how a community-governed, linguistically attentive digital archive exposes the limitations of English-centric, high-resource natural language processing pipelines. This article also addresses broader structural inequities shaped by market incentives, data colonialism, institutional capacity...

Схожие новости

#	Наименование новости	Тональность	Информативность	Дата публикации
1	AI often leaves out minority languages—but some communities are turning it into a lifeline	0	9.38	29-09-2026
2	Open Heritage in the Age of Artificial Intelligence	0	4.66	19-08-2026
3	Profiling Teacher Digital Literacy to Develop AI-Based Project-Based Learning in Under-Resourced Coastal Contexts [version 1; peer review: 2 approved]	0	12.14	26-05-2026
4	Cultural heritage objects in lack of anchoring communities. An unfinished reflection on a relational ethics of care	0	7.75	16-09-2026
5	Piercing a Methodological Bubble: Large Language Models and the Social Sciences	0	6.4	09-07-2026
6	« Biais », « Compagnon », « Hallucinations » : 3 exemples pour comprendre le poids des mots de et autour de l'IA	0	20.56	09-10-2026
7	Sustainability and Ethical Stewardship in Archival Practice: Perspectives from the United States 	0	7.13	07-10-2026
8	Who’s in Charge? Co-Leadership in Archaeology and Heritage	0	18.59	18-09-2026
9	Understanding Retrieval-Augmented Generation (RAG) in AI: A Deep Dive	0	10.97	23-09-2026
10	Working with Alma in natural language: AI Assistant for Acquisitions Funds & Ledgers	0	6.56	24-09-2026

Классификация: Мнения. Схожих патентов: 0. Схожих новостей: 10. Тональность: 0. Информативность: 9.01. Источник: www.escholarship.org.