IndrasNet Governance Validation Demonstrator

IndrasNet is a research demonstrator for governance validation in AI-enabled infrastructures.

The focus is on decision traceability, explicit boundaries between advisory AI and the enactment boundary, and reproducible validation artifacts.

Example: governance rule validation. Artifact: reproducible FSM audit record.

All terms are used in a research and validation context only.

Project scope

This project investigates governance validation mechanisms for contexts where:

The work is implemented as a research demonstrator with on-chain and off-chain evidence artifacts and a DevNet-based evidence layer.

What this project does

What this project does not do

Validation and evidence

A DevNet-based validation dashboard provides verifiable evidence of the demonstrator state.

This dashboard exists as an evidence layer only and does not represent an interactive governance setup.

Evidence artifacts overview

How to review this project

  1. Read the explicit non-goals to understand scope boundaries.
  2. Open the validation scope and confirm what is being tested.
  3. Inspect the validation dashboard for demonstrator evidence.
  4. Download the verification manifest and review the artifacts listed.
  5. Cross-check repositories and commit references in the manifest.