Waveframe Labs
Layer 0 — Epistemics

Neurotransparency Doctrine

The Neurotransparency Doctrine defines why cognitive provenance, traceability, and accountability are epistemically required in AI–human research.

What the Doctrine Defines

As AI systems increasingly participate in reasoning, cognition itself becomes a scientific variable. The Neurotransparency Doctrine asserts that research claims cannot be meaningfully evaluated unless the cognitive processes—human and artificial—that produced them are explicitly traceable.

This doctrine is normative. It establishes epistemic necessity, not implementation details. In the current Waveframe stack, that matters because execution governance requires formal authority before runtime systems can enforce anything deterministically.

Core Epistemic Principles

  • Traceability: Cognitive influence must be attributable to identifiable sources.
  • Attribution: Human and AI contributions must be distinguishable.
  • Reconstructibility: Claims must be reproducible from recorded inputs and transformations.
  • Epistemic continuity: Breaks in provenance invalidate downstream claims.
  • Accountability: Responsibility follows cognitive influence.

Relationship to the Aurora Stack

The Neurotransparency Doctrine occupies Layer 0 (Epistemics) in the Aurora Hierarchy. It does not enforce rules, define workflows, or validate artifacts.

It supports the infrastructure narrative by explaining why authority, provenance, and traceability must exist before actions are compiled into contracts and enforced at the execution boundary.

Doctrine vs. Specification

The Neurotransparency Doctrine defines epistemic necessity. The Neurotransparency Specification (NTS) defines enforceable requirements derived from that necessity.

In short: the doctrine answers why traceability is required; the specification defines what must be satisfied.

Canonical References