Structural gaps in AI training data risk distorting Indigenous knowledge systems
Original framing: “Be wary of AI-generated content on Indigenous cultures, say experts” — bing news
The issue mirrors colonial histories of knowledge extraction, where Indigenous knowledge was documented and commodified without consent. AI perpetuates this pattern by reinforcing dominant epistemologies.
The issue of AI-generated content on Indigenous cultures is not just about misinformation but about the structural exclusion of Indigenous knowledge from the very systems that shape digital representation.
This exclusion is rooted in colonial histories of knowledge extraction and is perpetuated by dominant AI development models that prioritize efficiency over cultural integrity. By integrating Indigenous co-design, ethical data practices, and decolonial frameworks, AI can become a tool for cultural resurgence rather than erasure. The path forward requires systemic change in how knowledge is valued, who is included in decision-making, and how technology is designed. Examples from Māori and Indigenous communities in Canada show that when Indigenous voices lead, AI can support rather than undermine cultural continuity.