Indigenous Data Sovereignty
Rethinking Ethical Training of Large Language Models
This project explores how artificial intelligence can be made more ethical and inclusive by drawing on Indigenous principles of data sovereignty. Large Language Models (LLMs), such as those powering generative AI tools like ChatGPT, are trained on vast datasets that often overlook the cultural origins, ownership, and governance of knowledge. “Indigenous Data Sovereignty: Rethinking Ethical Training of Large Language Models” brings together engineering, geography, and Indigenous studies to develop frameworks that respect community rights and promote responsible AI development. By combining systematic research with Indigenous governance insights, the project reimagines how AI can be accountable, transparent, and culturally grounded, advancing ICAT’s mission to integrate creativity, empathy, and innovation in addressing pressing societal challenges.
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