RF AI Units
AI is already shaping education, careers, and communities. These units teach you how it works, where it falls short, and how to use it as a tool rather than be used by it. Native perspectives on data, sovereignty, and representation are at the center of every lesson.
Relentless Feather is building a full track of AI units grounded in Native history, data sovereignty, and critical thinking. Sign up to be the first to know when they launch.
Stay Connected →An introduction to artificial intelligence using Native storytelling as the frame. How machines learn, and what that means for communities.
An exploration of bias in AI systems using examples from how Native peoples have been misrepresented or erased in datasets and language models.
How AI language models handle, and often fail with, Indigenous languages, and what it would take to train a model on them responsibly.
Learn to write effective AI prompts by trying to get an AI to accurately describe Native history and culture. Document what works, what fails, and why.
Use an AI API to build a quiz about Native American history. Introduces API calls, JSON responses, and displaying AI-generated content on a webpage.
Analyze what AI image generators produce when given prompts about Native peoples and build a critical media literacy page documenting your findings.
Design and build a simple Q&A chatbot for a fictional Tribal nation's website. Teaches conversational UI design and API integration.
Who owns data about Indigenous communities and what risks does AI pose? Build an informational site explaining data sovereignty in plain language.
Examine the tension between AI and Indigenous protocols around sacred and restricted knowledge. Build an editorial page arguing for ethical AI guidelines.