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Agentic Ai Governance: Designing Accountable, Goal-Driven AI Systems That Align With Human Values-logo

Agentic Ai Governance: Designing Accountable, Goal-Driven AI Systems That Align With Human Values

Lukas Reinhardt

Master AI governance and align autonomous systems with human values before rapid acceleration outpaces your strategy. Whether you are commuting to a critical leadership summit or actively mapping corporate risk, understanding machine learning ethics...

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Opening Credits

1/15/2026
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Chapter 1: From Tools To Agents What Changes When AI Acts

1/15/2026
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Chapter 2: Goals Values And Environments How Agentic AI Actually Behaves

1/15/2026
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Chapter 3: Risk Landscapes And Failure Modes In Agentic Systems

1/15/2026
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Chapter 4: Design Time Governance Specifying Objectives And Constraints

1/15/2026
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Chapter 5: Transparency By Design Interpretability Monitoring And Logging

1/15/2026
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Chapter 6: Run Time Governance Oversight Intervention And Incident Response

1/15/2026
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Chapter 7: Beyond Single Agents Multi Agent Systems And Emergent Coordination

1/15/2026
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Chapter 8: Organizational Governance Structures Incentives And Culture

1/15/2026
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Chapter 9: Law Regulation And Assurance For Agentic AI

1/15/2026
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Chapter 10: Global Stakes Long Term Risks And A Practical Governance Blueprint

1/15/2026
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Closing Credits

1/15/2026