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Topics: army leadership, data literacy, artificial intelligence, decision-making, human in the loop, commander judgment, dashboards
A practical introductory course for Army captains, majors, and lieutenant colonels who use reports, dashboards, staff analysis, and AI-enabled tools but do not have a technical background.
The course focuses on interpreting data, identifying weak or incomplete information, challenging AI-generated recommendations, and applying commander judgment in a human-in-the-loop decision process. No coding or advanced statistics are required.
Asking Better Questions
Provides a practical framework for questioning staff analysis, dashboards, and automated systems before accepting a recommendation or making a decision.
Why Data Literacy Matters for Army Leaders
Introduces data literacy as a leadership competency. Explains how Army leaders use data, dashboards, staff analysis, and AI-assisted recommendations to support decisions without needing a technical background.
Reading Tables, Charts, and Dashboards
Covers how to interpret common operational reports, readiness dashboards, percentages, trends, and status indicators while recognizing when summary metrics hide important details.
Data Quality and Missing Information
Explains how incomplete, outdated, inconsistent, duplicated, or manually entered data can distort the operational picture and lead to poor decisions.
Correlation, Causation, and Unsupported Conclusions
Teaches leaders how to distinguish relationships from causes and avoid attributing an outcome to one factor when other conditions may have influenced the result.
Bias and Misleading Statistics
Introduces common problems such as selective timeframes, small samples, averages that hide variation, percentages without totals, and confirmation bias.
Evaluating AI-Generated Outputs
Shows leaders how to assess AI-generated summaries and recommendations by examining the underlying data, assumptions, uncertainty, context, and consequences of error.
Human-in-the-Loop Decision-Making
Applies data literacy to Army leadership scenarios in which commanders must combine system outputs with operational context, risk, accountability, and professional judgment.
Final DSR Assessment
A scenario-based assessment covering data interpretation, data quality, misleading statistics, AI-generated recommendations, and human-in-the-loop decision-making.