Advanced Multi‑Modal Ethics Enforcement
AMME treats ethics enforcement as a first‑class computational primitive—something that can be composed, audited, and governed with the same rigor as cryptographic trust. It proposes a decentralized protocol suite for aligning autonomous socio‑technical systems with pluralistic ethical charters, backed by a formal DSL, hybrid consensus, and continuous multi‑modal risk signals.
What the thesis claims
The treatise advances three core contributions: a ledger‑ethics interface, a validator‑centric reference architecture (with a formal DSL and risk‑tolerant consensus), and an evaluation program combining observability metrics with adversarial threat modeling.
1) Ledger‑Ethics Interface
Encode legal, cultural, and organizational norms into verifiable state transitions—so compliance isn’t a retrospective checkbox, but part of the operational critical path.
2) Validator‑Centric Architecture
A stakeholder‑aligned network interprets evidence in real time and executes graduated remedies through hybrid consensus (fault‑tolerant proofs + deliberative governance votes).
3) Evaluation Program
Planned simulation studies combine observability metrics with adversarial testing across model life cycles, supply chains, and geopolitical jurisdictions.
The five pillars
AMME operationalizes enforcement through five pillars that work together: LEI, DPV, PSE, AIL, and IOL. Each pillar can be adopted incrementally while preserving end‑to‑end auditability.
LEI
Legitimacy Encoding Interface — deliberation workflows that translate contested norms into clauses and remedies.
DPV
Decentralized Policy Vault — versioned ethics packs (clauses, weights, precedence, update procedures) with provenance.
PSE
Pluralistic Sentinel Engine — continuous monitoring that matches multi‑modal risk signals to relevant clauses.
AIL
Adaptive Insight Loop — narrative aggregation, counterfactual analyses, and “shadowing” that surfaces divergences.
IOL
Interoperability Orchestration Layer — standardized attestations and least‑privilege capability tokens across domains.
Gauge integration
A proposed integration layer feeds continuous risk signals (model behavior + external observatories + human testimony) into the enforcement loop for early detection of ethical drift.
Pluralism and restorative accountability
AMME rejects a single “global ethics schema”. Instead, it treats ethics as a dynamic negotiation between stakeholders and supports multiple interoperable ethical charters through modular ethics packs with legitimacy weightings.
Pluralistic compatibility
Support multiple, potentially competing charters so local norms can be prioritized while remaining interoperable across jurisdictions.
Restorative remedies
Enforcement is not only punitive. The design emphasizes remediation, restitution, and learning—with transparent playbooks and drills.