Kevin Kadowaki (University of California, Irvine)

 "Learning with Data from an Unjust World"


Recently, a number of interesting positions have been staked out in the debate about the value-ladenness of science by drawing connections to practices within machine learning, in some cases relying on formal theorems and interpretations thereof.  These analyses often identify real practical critiques to the ethical uses of machine learning algorithms.  However, I will make the case that we should be careful to distinguish between two broad classes of these critiques, as they have different theoretical and practical implications.