Remediate MAS FEAT and HKMA Ethics gaps in Omni-Sentinel
- Implement ZK-Fairness proofs (Demographic Parity) in `next-app/lib/ai/fairness.ts`.
- Implement ASA Interpretability Layer using Contextual Attribution Envelopes (CAE) in `next-app/lib/ai/interpretability.ts`.
- Integrate fairness and interpretability controls into `Orchestrator` for depth-layer (MoE expert) responses.
- Update Ethics Maturity score to Level 3 in `next-app/data/maturity.json`.
- Add unit tests in `next-app/__tests__/governance_remediation.test.ts`.
- Pass all governance validation checks and verify frontend dashboard updates.
Co-authored-by: OneFineStarstuff <87420139+OneFineStarstuff@users.noreply.github.com>