Fairness in machine learning: a reading list
A list of resources to understand concepts and applications of fairness in machine learning (ML).
A list of resources to understand concepts and applications of fairness in machine learning (ML).
Of all the problems that may crop up in the machine learning lifecycle (acquire data, train a model, test the model, deploy, and monitor), biased data is the...
A review of articles that explore the effect of AI on jobs, based on an article from The Economist.