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Responsible AI
Human-in-the-loop AI with transparency, fairness, and accountability at every layer.
Version 2.0 · Last updated 7/14/2026
## Human-in-the-Loop
Every consequential AI decision requires human review and approval workflows.
## Retrieval Guard
Knowledge systems return "insufficient context" rather than hallucinating on policy gaps.
## Explainable Testing
Assurance programs produce explainable findings for governance and risk committees.
## Bias Assessment
Foundation assurance frameworks include fairness and bias evaluation across assessment engines.
## Transparency
Citation-backed answers with source document, page, and confidence scores where applicable.
## Accountability
Audit trails and evidence exports support regulators, boards, and public-interest oversight.