Lesson 2 of 3•Evaluating AI Output: The Judgment Gap0 of 3 complete (0%)
Evaluation Techniques by Output Type
12 min
What you will learn
- Apply fact-checking workflows and source verification to evaluate AI-generated text
- Evaluate AI-generated code using testing, security review, and performance analysis
- Assess AI data analysis for statistical validity and methodology correctness
- Judge AI creative work for brand consistency, tone accuracy, and audience fit
1 of 9
←→navigatespacecontinue
Knowledge check
1 of 2
Key takeaway
Different output types require different evaluation strategies. Text needs fact-checking and source verification. Code needs testing and security review. Data analysis needs statistical validation. Creative work needs brand and audience alignment. Using the wrong evaluation strategy for the output type leaves critical errors undetected.