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.