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Introduction
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Classroom Contents
AI UK - Doing Better in Data Science – From Algorithmic Fairness to Diversity
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- 1 Introduction
- 2 Welcome
- 3 Panelists
- 4 Concerns
- 5 Three points of reflection
- 6 Why diversity is important
- 7 Hal
- 8 The role of fairness in research
- 9 Diversity and transformation
- 10 Diversity and equality
- 11 Audience questions
- 12 Data diversity
- 13 Group parity
- 14 Improving diversity
- 15 Data colonialism
- 16 Reflection
- 17 Risk of not embracing diversity
- 18 What can we do
- 19 Risk
