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How can we prevent models from becoming biased
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Classroom Contents
Building an Ethical Data Science Practice
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- 1 Introduction
- 2 What is Ethical Data Science
- 3 Examples of AI gone wrong
- 4 Data complexity
- 5 Sentiment analysis
- 6 The virtuous cycle
- 7 Diversity in data science
- 8 Open invitation
- 9 Connect with Cal
- 10 How can data science have an active role in combating inequity
- 11 How are other organizations responding to ethical challenges
- 12 How can we prevent models from becoming biased
- 13 How would you systematically test for biases
- 14 segregation between population
- 15 trading complexity for accuracy
- 16 outro
