Artifact analysis
MergeFail: A Generative AI Exercise
A timed analytical exercise where students use AI tools and exhibit data to advise the LA Metro CEO on a zipper merge pilot program.
Protagonist
You
Format
Artifact analysis
Estimated time
~40 minutes
How this one works
A timed analytical exercise. You work with exhibits and AI tools, then submit a written recommendation.
What students practice
- Evaluate data quality across multiple sources with conflicting signals
- Identify methodological limitations that affect the reliability of conclusions
- Synthesize evidence from diverse exhibits to form a coherent recommendation
- Recognize when AI-generated analysis introduces unsupported claims
- Calibrate confidence to match the strength of available evidence
Themes
Data AnalysisAI-Augmented Decision MakingEvidence QualityPolicy Recommendations
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