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Responsible AI
Human-in-the-loop AI with transparency, fairness, and accountability at every layer.
Version 1.0 · Last updated 6/20/2026
## Human-in-the-Loop
Every consequential AI decision requires human review and approval workflows.
## Retrieval Guard
RAG systems return "insufficient context" rather than hallucinating on policy gaps.
## Explainable Testing
RedLabs produces explainable red-team findings for model risk committees.
## Bias Assessment
AI Assurance Lab includes fairness and bias testing across assessment engines.
## Transparency
Citation-backed answers with source document, page, and confidence scores.
## Accountability
WORM audit trails with cryptographic evidence exports for regulators.