Protect & Safeguard Data Sovereignty
Moving from policy to practice requires concrete implementation steps. This section covers how tribal nations are building internal AI capacity, deploying systems under tribal control, and operationalizing data governance frameworks. From language revitalization tools to healthcare applications to workforce development, you'll find examples of nations exercising sovereignty through action, not just advocacy.
Ten Simple Guidelines for Decolonising Algorithmic Systems
Ten guidelines translate Māori data sovereignty principles into practical steps for tribal nations evaluating or deploying AI systems. Covers meaningful partnership engagement, algorithmic transparency through open-source approaches, collective privacy frameworks, issue tracking mechanisms, and building tribal capacity to independently govern AI systems rather than just use vendor products.
Artificial Intelligence on Indian Reservations in the United States: Prospects and Challenges
Law review article examines AI deployment prospects on American Indian reservations across public, private, and nonprofit sectors. Authors argue tribal Internet policy should expand beyond broadband access to include responsible AI adoption, noting tribes' unique governance structures and small populations position them well to benefit from AI implementation.