> training data and their construction That's what I'm talking about. Machine learning systems - and everything else that is the product of human decisions -

> training data and their construction That's what I'm talking about. Machine learning systems - and everything else that is the product of human decisions - are a reflection of the biases, intentions, and other qualities of the designer. Even the initial choice to use a machine learning system is influenced by fallible humans. Why use machine learning? What kind, and why? What is the underlying model that is being optimized? What data was it trained with? Is the design of the system a proxy for something else, intentionally or unintentionally? The real world is complicated and messy, and any model of it is always gong to be incomplete.