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.
The Collaboratory for Indigenous Data Governance
University of Arizona research organization advancing Indigenous Data Sovereignty through the CARE Principles, DataSET Fellows Program, and Indigenous Data Exchange. The Collaboratory transforms institutional governance structures, develops data maturity models, publishes policy briefs on AI and agriculture, and hosts monthly webinars connecting researchers with Indigenous data governance practices. Founding member of the Global Indigenous Data Alliance.
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.
Indigenous Peoples' Data Collective (IPDC) - US Indigenous Data Sovereignty Network
Indigenous Peoples' Data Collective connects Tribal Nations with Indigenous Data Sovereignty experts from seven partner organizations to support implementation of locally-relevant law, policy, and infrastructure strategies. Through webinars, training, and the Indigenous Data Champions Fellowship, IPDC builds capacity for Indigenous Peoples to create and enforce governance structures that protect against extractive data practices while increasing community access and benefit.
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.