Artificial Intelligence Data Fairness and Bias

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  • Fairness and protections in machine learning
    • Welcome to the course! In week one, we will be discussing what fairness means in the context of machine learning and what true parity means in different scenarios
  • Building fair models: theory and practice
    • This week we will take action against unfairness. Now that we have an understanding of fairness issues, how do we build models that do not violate them?
  • Human factors: minimizing bias in data
    • This week, we will tackle the human biases that enter the data collection and attribute selection processes. The goal? Removing bias before the model is built

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