Data-mining and Extraction: the gold rush of AI on Indigenous Languages
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The goal of this paper is to start a discussion on the topic of Data mining and Extraction of Indigenous Language data, describing recent events that took place within the Algonquian Dictionaries and Language Resources common infrastructure.We raise questions about ethics, social context, vulnerability, responsibility, and societal benefits and concerns in the age of generative AI.
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Around the world, Indigenous languages are being scraped into machine learning datasets or online translation tools without community consent.
“Around the world, Indigenous languages, many of them endangered due to historical colonization, are suddenly finding themselves scraped into machine learning datasets or online translation tools without community consent (Junker 2024).”
From Preventing AI extractivism: the case for braiding indigenous data justice with ABS for stronger AI data governance (2026) · cites this paper as Junker 2024
Section 4, “The Bad: Data extraction without permission” (page not provided), describes researchers mining an Algonquian-language dictionary dataset without permission and using it for machine-learning experiments in an AI-driven translation project. The paper documents cases involving its Algonquian resources, not scraping around the world or incorporation into online translation tools. (LLM, conf=0.88)
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Research works printed but not linked: 6
- Jérémie Ambroise, Anne-Marie Baraby, Marie-Odile Junker, and Yvette Mollen (eds). 2023. Conjugaison des verbes innus (6 th ed.). https://verbe.innu- aimun.ca
- Marie-Odile Junker and Nicole Petiquay (eds). 2020. Conjugaison des verbes atikamekw (2 nd ed.). https://verbes.atikamekw.atlas-ling.ca/
- Marie-Odile Junker and Marguerite MacKenzie (eds). 2016. East Cree (Southern Dialect) Verb Conjugation (4 th ed.). https://www.southern.verbs.eastcree.org/
- Marie-Odile Junker and Marguerite MacKenzie (eds). 2020. East Cree (Northern Dialect) Verb Conjugation (5th ed.). https://www.northern.verbs.eastcree.org/
- Stephanie Carroll, et al. 2020. The CARE Principles for Indigenous Data Governance. Data Science Journal, 19: XX, pp. 1-12. https://static1.squarespace.com/static/5d3799de845 604000199cd24/t/6397b1aff7a6fb54defdf687/1670 885815820/dsj-1158_carroll.pdf
- Vineel Pratap et al. (2023) Scaling Speech Technology to 1,000+ Languages. Preprint https://arxiv.org/pdf/2305.13516.pdf · arXiv
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Schulz, M., & Loewen-Colón, J. (2026) · AI & SOCIETY · doi:10.1007/s00146-026-02931-z · Cited by 1 · see citing works
- Authors
- Junker, M.-O.
- Corresponding author
- Junker, Marie-Odile
- Venue
- Proceedings of the Seventh Workshop on the Use of Computational Methods in the Study of Endangered Languages
- Published
- 2024
- Pages
- 52-57
- OpenAlex
- W7126448667
- Cited by
- 1
- References
- 0
- Citations by year
- 2026: 1
- FWCI
- 0.46
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Workshop on the Use of Computational Methods in the Study of Endangered Languages (ComputEL) (publishedVersion, cc-by)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Social Sciences › Arts and Humanities › Literature and Literary Theory › Digital Humanities and Scholarship
- Keywords
- indigenous languages, data mining, data extraction, generative AI, ethics, social environment, vulnerability, responsibility
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