By Seeta Peña Gangadharan Speaking to computer scientists at an academic workshop on machine learning, Seeta Peña Gangadharan challenges researchers to think about the problem of disappearing people and history into mathematical equations. Math is deeply political. Yet computer scientists tend to talk about the real world as if they are separate from it and…
By Seda Gürses, Seeta Peña Gangadharan, and Suresh Venkatasubramanian In this post, Seeta Peña Gangadharan joins forces with Seda Gürses and Suresh Venkatasubramanian to briefly canvas research and works that challenge studies of fairness, accountability, and transparency in statistical and automated decision systems. FAT* stands for fairness, accountability, and transparency, and it refers to a…