Governance model

The thesis argues that legitimacy requires balanced institutions, transparent processes, and strong community representation. It sketches a global governance model intended to harmonize legal mandates, professional standards, and community oversight.

Assembly of Stakeholders (AoS)

A legislature‑like deliberative forum with representation across civil society, indigenous communities, regulators, industry, and academia. Seats are allocated through legitimacy‑weighted elections intended to over‑represent historically marginalized communities.

Proposed responsibilities include constitutional amendments, budgets, and appointing members to other bodies.

Validator Council (VC)

An executive‑style council overseeing operational policies, validator accreditation, and technical standards. It coordinates cross‑jurisdiction incident responses and publishes transparency reports.

Ethics Court (EC)

An ethics court intended to adjudicate disputes, interpret clauses, and issue binding opinions that guide future enforcement.

Balance of power. The thesis frames this triad as a way to keep authority distributed and contestable: an assembly, a council, and a court.

Standards alignment & interoperability

AMME is positioned as a “coordinating layer” that can plug into international certification and compliance workflows rather than replacing them.

Planned standards alignment

  • ISO/IEC 42001 (AI management systems)
  • ISO/IEC 38507 (governance implications of AI)
  • IEEE P7000 series (human values, transparency, accountability, privacy)
  • EU AI Act harmonization, plus African Union Data Policy Framework

Proposed open standards

  • AMME‑ETHICS‑1 — schema for ethics packs, legitimacy weights, and remediation contracts
  • AMME‑OBS‑1 — APIs for observability attestations, privacy budgets, and provenance
  • AMME‑GOV‑1 — governance processes: elections and deliberation protocols

The thesis proposes transparent change processes: public comment, security review, and compatibility checks.


Ethical licensing, training, and transparency

The governance chapter proposes mechanisms for enforceability: ethical licensing, validator accreditation, and open transparency infrastructure.

Charter license (ACL)

Operators would sign a charter license committing to pluralistic engagement, data stewardship, and restorative compliance. Breaches could trigger graduated sanctions (remediation orders → suspension → public disclosure).

The thesis suggests incident reporting windows (e.g., within 72 hours) and contributions to a remediation fund proportionate to revenue.

Validator accreditation

Proposed training spans ethical theory, indigenous knowledge systems, AI safety engineering, restorative justice, and operational procedures. Certification is described as ongoing (renewal, disclosure of conflicts of interest, continuing education).

Transparency portals

The chapter describes open data portals that publish machine‑readable logs of enforcement actions, remediation progress, and validator participation, aggregated to protect privacy but granular enough for independent analysis.