Week 10

Monday, March 30

Privacy Risks and Bias in AI Systems (Unit 7.1-7.2)

• 7.1 Privacy risks in AI: membership inference, data leakage, surveillance, and predictive harm
• 7.2 Bias in AI systems: types, sources, and fairness evaluation frameworks

Slide Deck

Presentation 15: Privacy Risks and Bias in AI Systems

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Discussion Outline

LLM-Assisted Development and a Concept-Drift Demo

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Wednesday, April 1

Algorithmic Transparency and Explainability (Unit 7.3-7.4)

• 7.3 Algorithmic transparency and accountability in high-stakes decision-making
• 7.4 Explainability and interpretability: concepts, techniques, and tools (LIME, SHAP)

Slide Deck

Presentation 16: Algorithmic Transparency and Explainability

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Interactive Demo

Bias, Transparency, Explainability, and Interpretability →