🔗 ← Class 13: Human-in-the-Loop (HITL) - When to Trust AI and When to Intervene | Class 15: International AI Competition →

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Resources

📄 Lesson PDF

📊 Slides PDF

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Video Lesson

https://youtu.be/ETRhDr7InWc

Learning Objectives

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By the end of this lesson, participants will be able to:

  1. Explain how AI transforms the OODA loop beyond simple augmentation, identifying seven fundamental changes that require new operational doctrine rather than faster execution of existing processes
  2. Differentiate between AI augmentation and architectural transformation of decision cycles, recognizing when AI provides quantitative speedup versus when it creates qualitatively different decision environments
  3. Identify appropriate human-in-the-loop decision nodes for AI-enabled OODA hub, distinguishing tasks suitable for AI autonomy from those requiring human judgment on strategic, ethical, or values-based grounds
  4. Assess organizational requirements for integrating multi-tier OODA architectures where a tactical AI hub operate at machine tempo while operational and strategic tiers maintain human oversight and control

Introduction

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