Fairness and protections in machine learning-Introduction to the course
Course Introduction Video
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Fairness and protections in machine learning-What is algorithmic fairness?
Model parity: a balancing act
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Protecting groups, protecting individuals
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The Equality Conundrum
Fairness and protections in machine learning-Fairness vs accuracy
Imperfect modeling
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COMPAS article
Weekly Review
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Building fair models: theory and practice-Fairness as an algorithm
Algorithms inside of algorithms: Getting to fair
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Testing in theory: fair loan decisions
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Building fair models: theory and practice-Deploying Fairness: combating bias in practice
Deploying fairness: combating bias in practice
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Unfairness visualized
Adversarial Models: Word2Vec
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Research Paper: Debiasing Word Embeddings
Weekly Review
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Human factors: minimizing bias in data-Human factors: bias
Getting out of your head: bias awareness
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Full list of cognitive biases
Building an exploratory training set
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Human factors: minimizing bias in data-Models under the influence
Imperfect modeling: finding a balance
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Human Factors: Game Theory
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Monster Match
Weekly Review
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