Deckker, D., & Sumanasekara, S. (2025). Systematic review: AI in Indigenous and cultural education—Bridging knowledge gaps. International Journal of Engineering and Science Invention, 14(2), 62–67. https://doi.org/10.35629/6734-14026267
Findings that AI use in Indigenous and cultural education hold promise but must address knowledge gaps through inclusive design, community collaboration, and respect for cultural protocols.
Ofosu-Asare, Y. (2024). Cognitive imperialism in artificial intelligence: Counteracting bias with indigenous epistemologies. AI & Society, 40(4), 3045–3061. https://doi.org/10.1007/s00146-024-02065-0
AI often reflects Western worldviews (cognitive imperialism), which can create bias and exclude Indigenous knowledge. The author suggests using Indigenous epistemologies through co-design with communities, fair data governance, and respect for cultural knowledge. Examples in language processing, content moderation, and healthcare show how this makes AI more inclusive, ethical, and culturally relevant.
Meighan, P. J. (2024). Indigenous language revitalization using TEK-nology: How can traditional ecological knowledge (TEK) and technology support intergenerational language transmission? Journal of Multilingual and Multicultural Development, 45(8), 3059–3077. https://doi.org/10.1080/01434632.2022.2161860
Meighan (2024) examines how technology can support Indigenous language revitalisation by integrating Traditional Ecological Knowledge (TEK) to enhance intergenerational transmission and cultural continuity.
Running Wolf, M., Arista, N., Running Wolf, C., Moses, C., & Davison, J. (2021, March 4 & 7). How to build-your-own practical A.I. tools for language maintenance [Conference presentation]. International Conference on Language Documentation & Conservation, University of Hawaiʻi at Mānoa.
Running Wolf et al. (2021) present practical strategies for building AI tools to support Indigenous language maintenance, emphasising community-led approaches and accessible, culturally grounded technology design.
Running Wolf, C. (2021, April 26). Indigenous protocols for artificial intelligence [Conference presentation]. EU-Canada Cooperation Workshop in AI: Equity, Diversity and Inclusion in Artificial Intelligence.
Running Wolf (2021) advocates for the integration of Indigenous protocols in AI development, stressing the importance of equity, diversity, and inclusion through culturally respectful and community-driven approaches.
The following video discusses how Indigenous Knowledges and AI can create opportunities in education to understand important concepts such as sustainability as well as our roles and responsibilities with respect to the environment.
This interview was with Ray John Jr. who is from the Oneida Nation and Mathias Babin who is a PhD student at Western University working in the field of Artificial Intelligence and Computer Science.
Erick Tambo (United Nations University, Cameroon). This video explores how artificial intelligence (AI) can be integrated with Indigenous Knowledge Systems (IKS) to create more inclusive, sustainable, and culturally grounded technologies. It highlights both the risks, such as bias, inequity, and environmental exploitation, and the opportunities for AI to support cultural preservation, economic inclusivity, and ecological stewardship. By drawing on IKS, AI development can move beyond narrow scientific perspectives to embrace holistic approaches that promote collective wellbeing and more equitable futures.
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