Methodology

Ethical Alpha Audit™ evaluates whether high-stakes artificial intelligence deployments are governance-ready, safety-ready, and defensible at the point of implementation.

Core logic

The methodology emphasises non-compensatory assessment. A serious weakness in one safety-critical area cannot simply be offset by strengths elsewhere. This is intended to improve the integrity of deployment decisions in clinical and public-sector settings.

Framework components

  • Clinical safety and validation
  • Bias detection and mitigation
  • Documentation and transparency
  • Accountability and governance
  • Deployment monitoring and review

Intended use

The public site provides a high-level statement of the methodology. Detailed implementation specifications, worked examples, and future outputs will be published progressively as the project develops.

Versioning

Current public version: 1.0. Machine-readable framework details are provided in the standard manifest.