Imagine a technology that doesn't just process information but deeply understands how we learn and connect. A system that doesn't extract data but nurtures educational growth and reciprocates care. This is the transformative vision emerging from the University of New England (UNE) as we explore the intersection of Indigenous wisdom and artificial intelligence to revolutionise learning.
This year, 2025, marks a significant moment as the United Nations commemorates the International Day of the World's Indigenous Peoples under the theme "Indigenous Peoples and AI: Defending Rights, Shaping Futures." At UNE, we are proud to be at the forefront, demonstrating how universities can lead in developing AI that honours Indigenous wisdom and upholds Indigenous rights in learning environments.
The Challenge: Why Western-Centric AI Falls Short in Education
For over 65,000 years, Indigenous Australian peoples have cultivated profound knowledge systems, rooted in an unbroken connection to Country – a living, interconnected web of land, waters, sky, and all beings. This framework weaves together spirituality, relationality, and sustainability in ways that profoundly challenge conventional Western thought about what and how we teach and learn.
However, current AI systems are predominantly built on Western ways of thinking. They often reflect individualistic values, extractive approaches to knowledge, and blindness to the deep interconnectedness vital to Indigenous cultures. In education, this perpetuates what scholars call "cognitive imperialism," where one worldview dominates and marginalises others, limiting diverse ways of learning.
The consequences can be severe. Without proper safeguards, AI risks entrenching colonial legacies—patterns of exploitation and marginalisation that Indigenous Peoples have long resisted in education. When AI is trained on data that excludes or misrepresents Indigenous knowledge’s and perspectives, it has the ability to misinform and even harm students' learning experiences, and for Indigenous peoples and students disregard their rights to cultural identity, and treat priceless knowledge as a commodity to be extracted rather than respected.
Consider this: if a child only ever learned from one perspective, using one language and one set of values, their understanding of reality—and ability to learn effectively—would be incredibly limited. The same is true for AI. By exclusively training AI on Western knowledge frameworks, we create technology that may work against principles that have sustained Indigenous cultures for millennia, limiting its potential as a truly inclusive educational tool.
What Makes Indigenous Wisdom Transformative for AI in Education?
In Western thought, information leads to knowledge, which eventually leads to wisdom. But in Indigenous Australian epistemologies the ways Indigenous peoples understand and relate to knowledge—wisdom is not an endpoint; it is the very foundation from which all learning emerges. It's about how you know, why you know, and your profound responsibility to what you know.
Indigenous Australian wisdom is lived, embodied, and relational. It encompasses deep understanding of Country, intricate kinship systems, rich oral traditions passed through generations, and resilient community structures honed over millennia. This wisdom fundamentally challenges the Western separation of knowledge from spirituality, mind from body, and humans from nature. Instead, Indigenous wisdom recognises that authentic learning engages intellectual, emotional, physical, and spiritual dimensions simultaneously—all vital aspects of truly holistic education.
Training AI on Wisdom Principles: UNE's Practical Approach
At UNE, our approach to training AI on Indigenous wisdom isn't about simply adding Indigenous content as an afterthought. It's about fundamentally reshaping how AI understands learning, pedagogical relationships, and the responsibility of knowledge transmission. This involves embedding specific Indigenous pedagogical approaches directly into how AI systems are designed:
- Relational Learning: AI trained on this principle understands that knowledge emerges through dynamic, interconnected relationships between learners, teachers, community, and Country. This means AI comprehends how different pieces of knowledge connect to each other, to people, and to place.
- Narrative-Based Learning: In Indigenous cultures, stories embody concepts, carrying layers of meaning that unfold according to context and need. AI informed by this principle understands that information can have multiple valid interpretations depending on who is learning, why they're learning, and what they need to know.
- Holistic and Embodied Learning: While Western AI typically treats learning as purely intellectual, AI informed by Indigenous wisdom recognises that authentic learning engages intellectual, emotional, physical, and spiritual dimensions simultaneously. It understands that how someone feels about information is as important as the information itself.
- Place-Conscious Learning: Indigenous pedagogy acknowledges that Country itself is a teacher. AI built on this principle understands that knowledge is always situated in place—that where you are matters to what you can know and how you should act in an educational setting.
At UNE, we implement this by actively co-creating AI assistants with Indigenous knowledge holders and experts. This ensures that Indigenous perspectives actively shape an AI's purpose, logic, and information processing from the ground up. We train AI on Indigenous-authored texts and guide them with prompts that embed these deep pedagogical principles, ensuring the AI's "brain" is guided by wisdom rather than imposing external frameworks on how students learn.
The Reciprocal Gift: How AI Can Support Indigenous Wisdom Transmission
The relationship between Indigenous wisdom and AI isn't one-way. When developed ethically and under complete Indigenous control, AI can become a profound "helper," supporting the transmission, revitalisation, and accessibility of Indigenous wisdom across generations and within educational settings. Here's how:
- Preserving and Revitalising Languages: Where communities choose, AI can offer tools like speech recognition, transcription, and translation assistance, becoming invaluable educational aids for language learners and cultural educators. For example, Te Hiku Media in New Zealand uses natural language processing to help revitalise the Māori language. Crucially, this only succeeds when communities retain complete control through Indigenous Data Sovereignty principles.
- Creating Culturally Affirming Learning Environments: AI can assist in designing educational curricula and learning environments that honour generational wisdom, celebrate cultural strengths, and create safe spaces for Indigenous learners. This means supporting educational environments where Indigenous students can succeed without compromising their cultural identity, enabling them to navigate both their cultural worlds and the broader academic landscape with confidence.
- Facilitating Genuine Consent and Community Control: One of AI's most critical contributions is supporting Free, Prior and Informed Consent (FPIC) processes, particularly for Indigenous research and educational content development. AI can document discussions, track agreements, and create transparent records of how Indigenous knowledge is being used in learning materials or research projects.
Defending Rights: Indigenous Data Sovereignty is Non-Negotiable
UNE's approach is firmly grounded in the United Nations Declaration on the Rights of Indigenous Peoples (UNDRIP),particularly the principles of self-determination and Free, Prior and Informed Consent (FPIC). The UN made clear in 2025 that decisions about AI development are often made without adequate representation of Indigenous Peoples, raising serious concerns about the lack of FPIC for the use of Indigenous data, knowledge, images, or identities in AI systems, especially for educational content or research.
Indigenous Data Sovereignty means that Indigenous communities have the inherent right to own, control, and govern their own data. At UNE, this principle is non-negotiable:
- Any Indigenous data used by AI is hosted in secure, sovereign environments that individuals or communities control.
- Communities unequivocally decide what is recorded, how it's stored, who can access it, and for what purposes.
- All initiatives require genuine FPIC—Indigenous Peoples must have a meaningful say in how their data and knowledge are used.
- AI systems must facilitate transparency and accountability, creating auditable records that build trust.
This commitment is about actively preventing harm. Historically, data collection from Indigenous communities has been extractive, taking knowledge without reciprocal benefit. Indigenous Data Sovereignty ensures that any use of AI with Indigenous knowledge contributes to transformative educational outcomes as communities themselves define them.
The Transformative Promise: A Future of Education Grounded in Wisdom
The convergence of Indigenous wisdom and AI at UNE isn't simply about making technology "culturally sensitive." It's about fundamentally reimagining what technology can be for education. Instead of an extractive force that imposes external frameworks, AI can become a respectful assistant that strengthens, rather than diminishes, cultural identity within learning spaces.
For Indigenous learners, this offers something truly profound: the possibility of educational and professional success without cultural sacrifice. Historically, Indigenous Peoples have often faced a false choice—maintain cultural identity orsucceed in Western institutions. AI informed by Indigenous wisdom can help create pathways where Indigenous students walk confidently in both worlds, empowered by technology that affirms rather than erases their identities, fostering a sense of belonging and academic achievement.
UNE is committed to this vision, positioning ourselves as a leader in demonstrating how universities can contribute to a future where AI development respects Indigenous rights, supports Indigenous self-determination, and honours ancient wisdom for the benefit of all learners. This is the transformative promise: technology grounded in 65,000 years of wisdom, serving not just innovation, but justice, equity, and the thriving of Indigenous peoples and communities for generations to come through education. When we train AI on the principles underlying Indigenous wisdom, we create technology that recognises and honours what it means to be human, to be connected, and to be responsible to each other and to Country, within every aspect of learning.
