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Ipse Dixit | 11.21.18

Andrew Selbst on Justifying Algorithmic Decisionmaking

Andrew Selbst

Data & Society Postdoctoral Scholar Andrew Selbst shares insights from his paper with Solon Barocas, The Intuitive Appeal of Explainable Machines.

“Selbst begins by framing the promise and peril of algorithmic decisionmaking…In particular, he notes that many regulatory proposals focus on requiring the explanations of how an algorithm works. But he and Barocas argue that regulators should also require justifications for the construction of those algorithms, and propose some ways in which those justifications could be provided.”

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