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Explaining Recommendations
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Classroom Contents
Building User Trust in Recommendations via Fairness and Explanations
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- 1 Intro
- 2 Trust in Al Systems
- 3 How do people feel about Al systems?
- 4 Ethical principles in Al systems
- 5 What is Fairness?
- 6 Let's break it down
- 7 For Whom?
- 8 When is the distribution fair?
- 9 Of What?
- 10 Fairness of Utility
- 11 Fairness of Exposure
- 12 Taxonomy of Fairness in Recommendations
- 13 Explaining Recommendations
- 14 Why Explain?
- 15 White Box vs Black-Box Models
- 16 Local Proxy Models
- 17 Counterfactual Explanations
- 18 Towards Fairness-Aware Explanations
- 19 Take Away
