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Governing every AI system at Bridgewater Mutual, a multinational insurer, around the AI governance loop of eight arcs: inventory, risk tiering, policy, lifecycle controls, data and privacy, third-party AI, monitoring and incidents, and regulatory readiness. The register grew from six known AI systems to thirty-one found, each tiered under the EU AI Act — the underwriting model and a vendor's default-on resume screening as high-risk, the claims GenAI copilot as limited, and a social-scoring pilot stopped as prohibited; and the program is proven against the EU AI Act, NIST AI RMF and ISO/IEC 42001, with drift and bias monitors, vendor contracts and an audit-ready evidence pack.
CY-SENIOR-069Senior Level · AI Governance Program

AI Governance & Risk Management Program — The AI Governance Loop

A senior-level course that builds the enterprise program governing every AI/ML system an organization runs or buys. Work the AI governance loop - eight arcs: AI Inventory, Risk Classification, Policy & Principles, Lifecycle Controls, Data & Privacy, Third-Party AI, Monitoring & Incidents, and Regulatory Readiness - discovering the full inventory including shadow AI, classifying risk under the EU AI Act and NIST AI RMF, turning responsible-AI principles into enforceable policy, placing controls across the lifecycle, governing data and privacy, diligencing third-party AI, monitoring continuously, and proving regulatory readiness. Four hands-on activities in every lesson, built from real governance artifacts, not shell commands.

15 hours8 chapters32 lessons225 activities8 labs

What you'll learn

  • Build and maintain a living AI system inventory, including shadow AI and vendor-embedded AI.
  • Classify every AI system's risk under the EU AI Act's tiers and assess it with NIST AI RMF.
  • Diligence and contract third-party and foundation-model AI, including sub-processors.
  • Demonstrate regulatory readiness against the EU AI Act, ISO/IEC 42001, and sector-specific rules.
Price:৳10,000
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