AI in a Tribal Context: A Brief Review of the Literature

Author: Evelyn Cox, Ph.D., MLIS, Research Project Manager, Native Nations Center for Tribal Policy Research

AI in a Tribal Context: A Brief Review of the Literature compiles the limited but growing body of research on how AI intersects with tribal nations, revealing both what's known and what remains unexplored. Published by the University of Oklahoma's Native Nations Center for Tribal Policy Research in November 2025, this snapshot synthesizes peer-reviewed research, grey literature, tribal journals, and public examples to answer a fundamental question: what does the evidence actually say about AI in Indian Country?

The article's most important finding is also its most validating: research on AI in tribal contexts is extremely limited. That's not a gap to be embarrassed about—it's evidence that tribes are pioneering this work, not catching up. The review identifies critical blind spots: insufficient tribal input in AI systems creates bias; AI systems reflect their creators' cultural values and will never be neutral; empirical data on AI's economic and environmental impact on tribal lands barely exists; and tribal representation in AI policymaking is largely missing.

Previous
Previous

Avoiding the next digital divide: Defining digital sovereignty for Tribal Nations in the AI age

Next
Next

Tribal Nations and AI Governance: A Selected Overview of the AI Risk Regulation Landscape