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Phase 5 — Deployment Governance & Fairness Oversight
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Apr 15, 2026
SS21 - Translating technical dashboards and model exceptions into governance-friendly narratives
Apr 5, 2026
SS20 - How clustering logic supports investigations without labeled fraud data
Mar 2, 2026
SS19 - Threat Models, Isolation, and Why Your Model Is More Dangerous Than Your Database
Phase 5 — Governance, Fairness & Deployment Controls
Mar 1, 2026
WS18 - How Banks Actually Measure (and Fix) Discriminatory AI Without Drowning in Metrics
WS17 - The Documentation Checklist That Gets Models From "Ready" to Approved in Production
Feb 23, 2026
SS18 - Why 95% Accuracy Can Be Discriminatory and How to Measure Fair Lending
Feb 16, 2026
SS17 - Translating Model Performance Into Decisions That Get Approved
Phase 4 — Safe Internal AI Interfaces
WS16 - When Your Model Breaks in Production, Who Calls Who and What Do They Do?
Phase 4 — Safe Retrieval, Guardrails & Internal AI Interfaces
Feb 8, 2026
SS16 - Define escalation paths, overrides, and decision accountability structures
