Sean Carroll in Preposterous Universe:
How can data be biased? Isn’t it supposed to be an objective reflection of the real world? We all know that these are somewhat naive rhetorical questions, since data can easily inherit bias from the people who collect and analyze it, just as an algorithm can make biased suggestions if it’s trained on biased datasets. A better question is, how do biases creep in, and what can we do about them? Catherine D’Ignazio is an MIT professor who has studied how biases creep into our data and algorithms, and even into the expression of values that purport to protect objective analysis. We discuss examples of these processes and how to use data to make things better.