Decentralised Agentic Governance: A Methodology for Community-Owned Linguistic Datasets and Knowledge Synthesis
DOI:
https://doi.org/10.23726/cij.2026.1829Keywords:
Quadratic Voting, Agentic Governance, Decentralized Autonomous Organizations (DAO), Linguistic Commons, Knowledge Hypergraphs, AI EthicsAbstract
The rapid expansion of Large Language Models (LLMs) has intensified concerns regarding centralised data extraction and the erosion of linguistic sovereignty. Current industrial paradigms largely treat language as a raw resource, harvested at scale with limited regard for cultural context or community agency. This paper proposes a methodological shift from passive data extraction to active knowledge co-creation through a triadic framework integrating human contributors, autonomous AI agents, and decentralised governance mechanisms. By combining Agentic Scaffolding — an AI-assisted interaction layer that guides rather than replaces human contributors — with DAO-based validation, the framework enables communities to collectively produce, validate, and govern high-fidelity linguistic data. The resulting system establishes the foundation for a community-owned Linguistic Commons designed to support future integration with advanced knowledge structures such as Knowledge Hypergraphs while preserving cultural integrity, transparency, and community sovereignty.
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