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1. Orientation: What AI Can Do and Where It Fails

AI is a Probabilistic Tool, Not an Authority

Visual Map: Safe AI Usage

Risk Map: Impact × Verifiability × Sensitivity

Understanding Check: When to Slow Down

2. Reliable Workflow

Prompt as a Work Assignment

Verification in Four Passes

Visual Procedure: Quadruple Verification

Understanding Check: Verification

3. Your Own Secure Experiment

Seven-Day Micro-Experiment

Current Frameworks and Further Study

Interactive Simulation: AI Decision Lab

A practical foundation in AI literacy: selecting the right tool, quality prompting, verifying outputs, data protection, and human responsibility.

You will learn how to assign tasks, protect sensitive data, verify outputs, and decide when not to use AI.

Copy of A000 | Practical AI Literacy and Secure Tools

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