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EPISODE · Jan 13, 2021 · 54 MIN

Governing an Algorithm in the Wild

from Data & Society · host David Robinson, Alex Rosenblat

Algorithms make a wide range of morally important decisions, and many people now argue that members of the public should be more directly involved in deciding the moral tradeoffs that such systems entail. But most ideas for public or stakeholder involvement are still on the drawing board, and there are few real stories of public deliberation over the design of a morally important algorithm. This talk explores one such story. On December 4, 2014, the algorithm that allocates kidneys for transplant in the United States was replaced, following more than a decade of debate and planning. The development process was highly transparent and participatory, faced hard ethical questions explicitly, and incorporated elements of simulation and auditing that scholars often recommend. Scientist and researcher David Robinson describes how this story played out — including a twist ending — and will draw out four broader lessons to inform the design of participation strategies for other high stakes algorithms. The talk is hosted by Data & Society Senior Researcher, Alex Rosenblat.

Episode metadata supplied by the publisher feed · Published Jan 13, 2021

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In this talk, Scientist and Researcher David Robinson and Data & Society Senior Researcher Alex Rosenblat discuss a healthcare algorithm as a case study for algorithmic governance.

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Governing an Algorithm in the Wild

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