9–10 · Audit, Policy, Accountability

Testing and Redesign

Unit 4 has students build and test AI workflows like engineers. Across five 45-minute lessons, they find failure modes, test and iterate, judge results with metrics, redesign workflows with safeguards, and defend their tradeoffs.

📘 5 lessons · 45 min lessons📄 5 printable activities + certificate

The 5 lessons

  1. 1

    When AI Fails

    45 min

    Students identify failure modes and edge cases where AI systems break down.

    Vocabulary: failure · limit · edge case · risk

  2. 2

    Test and Iterate

    45 min

    Learners explain why repeated testing rounds find weaknesses and improve reliability.

    Vocabulary: iterate · test · refine · reliability

  3. 3

    Metrics That Matter

    45 min

    Students use criteria and a rubric to judge whether AI outputs are accurate, useful, and safe.

    Vocabulary: metric · criteria · quality · reliable

  4. 4

    Redesign the Workflow

    45 min

    Learners redesign a weak AI workflow, adding safeguards to reduce errors and risk.

    Vocabulary: workflow · safeguard · revise · risk

  5. 5

    Builder Defense

    45 min

    Students present and defend their workflow choices and tradeoffs with evidence.

    Vocabulary: tradeoff · justify · defend · evidence

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