# 2.2 Core Principles

1\. Knowledge Ownership\
Knowledge contributors retain economic and attribution rights tied to their content. Assets cannot be arbitrarily repurposed without transparent accounting.

2\. Verifiable Provenance\
All knowledge assets include cryptographic commitments that bind authorship, edits, validation, and lineage. This establishes a traceable reasoning path for AI outputs.

3\. Privacy-Preserving Utility\
Knowledge remains encrypted off-chain while being usable through permissioned access and zero-knowledge attestations where necessary.

4\. Programmable Value Flow\
Inference-level royalty accounting ensures aligned incentives:\
“AI grows → knowledge contributors earn.”

5\. Decentralized Quality Assurance\
Multiple assessors contribute to knowledge evaluation, weighted by reputation, expertise, and historical performance.


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