The Indigenous digital footprint
Abstract
Developments in information and communications technology (ICT), ubiquitous technologies, supercomputing, AI, robotics, machine and deep learning, big data, and other technologies have transformed how we practice, share, access, communicate, distribute, and view knowledge and information. This chapter describes how Indigenous communities, GLAMs (galleries, libraries, archives, museums) and institutions have developed and adopted etools, emedia, and elearning for cultural, social, linguistic, and economic sustainability.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Indigenous people have been adapting their knowledge systems to new scientific and technological advances for millennia.
“Indigenous people have been adapting their knowledge systems to new scientific and technological advances for millenia.”
From Abundant intelligences: placing AI within Indigenous knowledge frameworks (2025) · cites this paper as Whaanga and Mato 2020
Integrating AI into Indigenous knowledge practices will be the latest example of this ongoing innovation.
“Integrating AI into their knowledge practices will be but the latest example of this ongoing innovation (Whaanga and Mato 2020).”
From Abundant intelligences: placing AI within Indigenous knowledge frameworks (2025) · cites this paper as Whaanga and Mato 2020
Indigenous knowledge cannot be simply retrofitted into existing AI architectures.
“As Whaanga and Mato (2020) highlight, Indigenous knowledge cannot be simply retrofitted into existing AI architectures.”
From Towards a decolonial AI sovereignty model for indigenous educational settings (2026) · cites this paper as Whaanga and Mato, 2020
Cited by
Sorted by citations
Abundant intelligences: placing AI within Indigenous knowledge frameworks
Lewis, J. E., Whaanga, H., & Yolgörmez, C. (2025) · AI & SOCIETY · doi:10.1007/s00146-024-02099-4 · Cited by 80 · see citing works
Self-citationTowards a decolonial AI sovereignty model for indigenous educational settings
Mbah, M. F., & Jarvis, L. (2026) · Cogent Education · doi:10.1080/2331186x.2026.2626631 · Cited by 7 · see citing works
- Authors
- Whaanga, H., & Mato, P.
- Venue
- Routledge Handbook of Critical Indigenous Studies
- Publisher
- Routledge
- Published
- 2020-12-30
- Pages
- 447-464
- OpenAlex
- W3107550843
- Cited by
- 6
- References
- 0
- Citations by year
- 2026: 1 · 2024: 1 · 2023: 4
- FWCI
- 2.67
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Routledge eBooks (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › ICT in Developing Communities
- Social Sciences › Anthropology › Indigenous Cultures and History
- Social Sciences › Anthropology › Australian Indigenous Culture and History
- Keywords
- indigenous peoples, digital footprint, GLAM, online learning, online learning tools, e-learning media, cultural sustainability, social sustainability, linguistic sustainability, economic sustainability, indigenous knowledge
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
