Learn & Understanding AI for Indian Country
Understanding AI doesn't require a computer science degree. This section covers the fundamentals every tribal leader needs - from how AI actually works to what data sovereignty means in practice. Whether you're just starting to explore AI or need to strengthen your foundation before moving to implementation, you'll find clear explanations and real-world context here.
Avoiding the next digital divide: Defining digital sovereignty for Tribal Nations in the AI age
Synthesizes findings from the 2025 AI in Indian Country conference, this white paper offers practical recommendations on data inventory, community values, governance structures, policy development, and risk mitigation. One of the most current and comprehensive cross-sector summaries of what a tribal AI strategy should contain.It All Begins Here
AI in a Tribal Context: A Brief Review of the Literature
Comprehensive scan of AI research in tribal contexts. Documents real tribal AI use cases, identifies critical research gaps, and shows why Tribes are pioneering not following in this space.
Tribal Nations and AI Governance: A Selected Overview of the AI Risk Regulation Landscape
Tribal Nations and AI Governance: A Selected Overview of the AI Risk Regulation Landscape" maps the current AI regulatory environment to help tribal leaders understand where their nations fit or don't fit in existing frameworks. Published by the University of Oklahoma's Native Nations Center for Tribal Policy Research in September 2025, this snapshot analyzes how the EU, federal government, and individual U.S. states are approaching AI governance, and what those approaches mean for tribes.
Reclaiming the future: Māori voices leading in the age of AI and quantum tech
Māori technologists embed cultural values directly into AI development through consent-based data models and kaitiakitanga licensing. What can tribes learn?
AI Threatens Indigenous Data Sovereignty and Digital Self-Determination
International perspective on AI and Indigenous data sovereignty. Shows how Canada and Taiwan are (or aren't) embedding Indigenous leadership in AI governance. Argues for structural shifts, not symbolic inclusion.
Opportunity and Risk: Artificial Intelligence and Indian Country
Explores AI applications across health, education, language, and culture. Documents both transformative potential and documented bias. Introduces Indigenous AI protocols and offers TCU next steps.
Abundant Intelligences: Placing AI within Indigenous Knowledge Frameworks
Academic research program rebuilding AI using Indigenous epistemologies. Four international research Pods working to transform AI from tool of extraction to engine of abundance through Indigenous-led design.
Decolonizing Philosophy of Technology: Learning from Bottom-Up and Top-Down Approaches to Decolonial Technical Design
Academic examination of decolonial technical design approaches. Contrasts top-down methods (philosophical frameworks from scholars) with bottom-up practices (working directly with marginalized communities through grassroots engineering, participatory design, and decolonial AI). Argues technology design plays essential role in either maintaining or overcoming colonial power structures.