ARI is the institutional layer that determines how scientific AI must be conducted across the Aurora ecosystem.
It defines authority, scope, and binding governance for all derivative projects.
What is ARI?
The Aurora Research Initiative establishes the rules under which Waveframe Labs and all associated research
operate. It is responsible for defining epistemic commitments, institutional boundaries, and governance authority.
In practical terms, ARI is the “who decides” layer: it determines which standards apply, how exceptions are handled,
and what constitutes valid scientific conduct within the Aurora ecosystem.
Scope & Responsibilities
Define institutional mission, scope, and epistemic commitments.
Ratify the Neurotransparency Doctrine and Specification as binding standards.
Approve workflow methodologies (AWO) and enforcement mechanisms (CRI-CORE).
Set requirements for metadata, provenance, logging, and attestation.
Oversee governance exceptions and institutional overrides.
Relationship to Other Layers
Layer 0 — Neurotransparency: Defines epistemic necessity and cognitive integrity.
Layer 2 — AWO: Implements ARI policy as operational workflows.
Layer 3 — CRI-CORE: Enforces ARI rules mechanically.
Layer 4 — Case Studies: Demonstrate ARI-aligned research in practice.