Many people believe that machine learning algorithms are analytical -- that they ponder over the data available and do logical, unbiased reasoning using some internal model.
— François Chollet (@fchollet) October 11, 2018
They're the opposite of that: they're intuitive. They do pattern recognition. They're System 1, not 2.
Replies indicate that people are very confused about what "bias" means. It means doing pattern recognition based on spurious correlations, as opposed to causal reasoning. A ML model will use all correlations found in the training data, and typically many of them will be spurious.
— François Chollet (@fchollet) October 11, 2018
