Revisions for ML-Draft-003

DP12 - Community Governance of AI

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Revision History

Revision 01 Current
Approved

Published: 2026-05-04

Pages: 6 | Words: 2574

What changed:

The upgraded DP12 shifts governance from a conceptual or participatory idea into a fully executable system. The earlier version emphasized community involvement—rules, dialogue, and memory—but the new version introduces a governance execution layer with structured policy objects, runtime binding, and enforcement coupling. Governance is no longer just “deciding rules”; it is now binding those rules deterministically to AI behavior at the point of interaction, with verifiable governance receipts that show exactly which policy was applied and why.
A major addition is portability and interoperability of governance itself. The upgraded draft ensures that policies, decisions, and authority can move across systems without losing meaning or enforceability. It explicitly tackles governance degradation across environments—something the original only implied. This includes semantic preservation, enforcement equivalence, and explicit signaling when governance weakens. In other words, governance is no longer local—it becomes infrastructure that travels with the user and the community.
Finally, DP12 now treats governance as a continuous operational loop with real power over incentives and system behavior. It integrates directly with containment (DP13), incentives (DP9), and auditability (DP14–15), ensuring that rules cannot be bypassed by economic pressures or hidden system logic. It also introduces stronger mechanisms for conflict resolution, override visibility, and governance memory. The net effect: governance is no longer advisory or symbolic—it becomes causal, inspectable, and enforceable under real-world conditions.

Published: 2026-04-20

Pages: 4 | Words: 1614

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