Trustee Model

The Trustee Model is a human-centered, reputation-based trust network designed to balance algorithmic integrity with deep personal judgment.

It starts with a core group of human sized gathering of trustees (often around 42 individuals), organized into six groups of seven, who are entrusted with evaluating human qualities.

Each trustee is verified through proof-of-personhood and self-sovereign identity, ensuring they are real individuals. Judgments are recorded on an immutable blockchain-like ledger, combining transparency with privacy through zero-knowledge proofs.

The model uses cross-checking between groups to detect outliers and prevent corruption, while external real-world feedback ensures that trustees’ reputations are adjusted based on actual outcomes. If a trustee endorses someone who later acts contrary to the valued quality, the endorsing trustee’s reputation is correspondingly downgraded.

This structure is both self-healing and evolutionary, with a built-in feedback loop that tunes the network’s reliability over time. By insisting on small-group, in-depth dialogue and qualitative deliberation, the model maintains a balance between algorithmic governance and personal trust.

# Critique The following problems, and risks are associated with this reputation based trust model:

# See