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AI Governance Module 3
4.3 Integrating Measurement with AI Assurance Frameworks
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8. Knowledge Review Assessment – Module 3 – AI Assurance, Audit and Continuous Improvement
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7e.1 AI agent scenario
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7e. Case Study – FIIG Securities, cyber resilience and evidence-based assurance
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7d.4 Integration Across Sectors Strengthens Governance Maturity
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7d.3 Continuous Improvement Requires Leadership Attention—Not Just Technical Fixes
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7d.2 Explainability and Documentation Reduce Appeals, Audit Risk, and Misunderstanding
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7d.1 Early Bias Detection Prevents Regulatory and Reputational Risk
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7d. Case-Study Cross Learning
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7c.6 Reflection Prompts
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7c.5 Consequences if Issues Were Ignored
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7c.4 Outcomes and Benefits
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7c.3 Assurance Tools and Frameworks Used
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7c.2 Issues Identified During Assurance
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7c.1 Background
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7c. Case Study – AI Assurance in the University Sector (illustrative)
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7b.6 Reflection Prompts
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7b.4 Outcomes and Benefits
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7b.3 Assurance Tools and Frameworks Used
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