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AI Directors Module 2

Post Course Survey – AI Governance for Directors

May 9, 2026 by InfoGovANZ

Open to access this content

15. Knowledge Review Assessment – Module 2: AI Governance and ERM Integration, Board Reporting and Assurance

May 9, 2026 by InfoGovANZ

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14. Director Tools and Reference Pack

May 9, 2026 by InfoGovANZ

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Scenario 7. Agentic AI with privileged workflow access

May 9, 2026 by InfoGovANZ

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Scenario 6. AI in a financial services critical operation

May 9, 2026 by InfoGovANZ

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Scenario 5. High-impact customer triage outside appetite

May 9, 2026 by InfoGovANZ

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Scenario 4. Narrative assurance without evidence

May 9, 2026 by InfoGovANZ

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Scenario 3. Board papers in a general-purpose AI tool

May 9, 2026 by InfoGovANZ

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Scenario 2. Recruitment tool with fairness concerns

May 9, 2026 by InfoGovANZ

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Scenario 1. The missing vendor update

May 9, 2026 by InfoGovANZ

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13. Applied governance scenarios: reporting failures, escalation, risk acceptance and assurance challenges

May 9, 2026 by InfoGovANZ

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12. Automated decision-making transparency obligations commencing 10 December 2026

May 9, 2026 by InfoGovANZ

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11. Procurement, third parties and supply chain risk: what boards should expect

May 9, 2026 by InfoGovANZ

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10. Internal audit, independent review and assurance from a board perspective

May 9, 2026 by InfoGovANZ

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9. Minimum governance documentation and evidence

May 9, 2026 by InfoGovANZ

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8. Accountability for AI risk: translating oversight responsibilities into clear role allocation, escalation ownership and management requirements

May 9, 2026 by InfoGovANZ

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7.2 Oversight benchmark in practice: 3 organisations and AI projects

May 9, 2026 by InfoGovANZ

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7.1 Determining your organisation’s AI Governance Maturity

May 9, 2026 by InfoGovANZ

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7. Governance maturity, proportionality and uplift path

May 9, 2026 by InfoGovANZ

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6. AI use in the boardroom

May 9, 2026 by InfoGovANZ

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