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Responsible AI in Practice
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Brief Graduate + working professionals · 6 modules · 12 h · 7 outcomes · tone: direct, case-based Outcome 3.4 has no assessment Edit brief

3.2 Bias in model evaluation

5 blocks · 18 min · Outcome 3.2
Text Human · written by you 3 min
In the loan example, the team reported 94% accuracy. Two problems hid inside that number…
AI draft · from Week3_slides.pdf p. 4–7 · v3
Callout Why this block? Your edits shown as a diff
Remember: a single headline metric is a claim about the typical user average person. Fairness questions are about who the average ignores hides.
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AI draft · not yet reviewed
Knowledge check Reading level grade 14 · target 11 Outcome 3.2 · 2 min
Which change would you make first before trusting the 94% figure? (3 options · 1 correct · feedback drafted)
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