Week 5 of 6 · 2.5-3 hours
Fairness, Privacy, and Reliable Information
Audit AI for bias, protect people's data, and check whether the content you see can be trusted.
Big question: How can we tell whether an AI system is fair, respects privacy, and gives us information we can trust?
By the end of this week
- Explain how bias comes from uneven representation and read group-level results to detect it.
- Define privacy, personal data, and consent, and apply data minimization to a feature.
- Verify content using the original source, context, and independent confirmation.
- Explain why important AI decisions need human oversight and a right to appeal.
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- Audit a Dataset for FairnessLearn how uneven examples create bias, read group-level results to see who a system works well for, and audit a dataset for fairness.
- Protect Privacy and Minimize DataLearn what counts as personal data, why consent matters, and how data minimization keeps an AI feature working while collecting far less about people.
- Investigate AI Content and Make an Ethics DecisionLearn to verify AI-made and online content by finding the original source, checking context, and confirming independently — then make an ethics decision with human oversight and a right to appeal.