🔗 ← Module 3: Military Decision-Making | Class 13: Human-in-the-Loop (HITL) - When to Trust AI and When to Intervene →

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Resources

📄 Lesson PDF

📊 Slides PDF

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Video Lesson

https://youtu.be/9JeapXz5iEY

Learning Objectives:

By the end of this class, learners will be able to:

1. Analyze the four-stage progression from data to understanding and evaluate how this framework applies to military decision-making processes.
2. Evaluate data quality using the A2T2P framework and determine which data sources meet operational requirements.
3. Analyze the gap between data professionals and warfighters, and propose solutions for achieving shared understanding.
4. Evaluate the role of artificial intelligence and machine learning in data analytics while recognizing their limitations and the requirement for human-in-the-loop verification.
5. Analyze the impact of data volume on decision-making processes and propose strategies to prioritize relevance over volume.

Why Data Literacy Matters for Military Leaders