Alpha Institute • Responsible AI Observatory

Make the method visible.

Versioned scope, evidence and review are prerequisites for defensible evaluation.

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Research status

The Responsible AI working architecture and transparency weights are provisional. Publication of this educational page does not activate a new scoring standard or alter historical evaluations.

Evidence and uncertainty

Keep disclosed, not found, not applicable and unverifiable states distinct. Assess freshness and provenance. Missing evidence is unknown, not proof of failure.

Review and challenge

A reviewer must establish scope, rights, conflicts and evidence sufficiency before approving a finding. Corrections create a traceable revision. Independent evaluations require their own approval and appeal process.

Machine-readable resources

Alpha Evals

Explore existing readiness and independent evaluation pathways. https://evals.alpha.ac/

Evidence supports a conclusion only within its stated scope.