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Voices in the Code
- A Story About People, Their Values, and the Algorithm They Made
- Narrated by: Ian Putnam
- Length: 6 hrs and 23 mins
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Publisher's Summary
Algorithms—rules written into software—shape key moments in our lives: from who gets hired or admitted to a top public school, to who should go to jail or receive scarce public benefits. Such decisions are both technical and moral. Today, the logic of high stakes software is rarely open to scrutiny, and central moral questions are often left for the technical experts to answer.
In Voices in the Code, scholar David G. Robinson tells the story of how one community built a life-and-death algorithm in an inclusive, accountable way. Between 2004 and 2014, a diverse group of patients, surgeons, clinicians, data scientists, public officials and advocates collaborated and compromised to build a new kidney transplant matching algorithm—a system to offer donated kidneys to particular patients from the U.S. national waiting list. Drawing on interviews with key stakeholders, unpublished archives, and a wide scholarly literature, Robinson shows how this new Kidney Allocation System emerged and evolved over time, as participants gradually built a shared understanding both of what was possible, and of what would be fair. Robinson finds much to criticize, but also much to admire, in this story. It ultimately illustrates both the promise and the limits of participation, transparency, forecasting and auditing of high stakes software. The book’s final chapter draws out lessons for the broader struggle to build technology in a democratic and accountable way.
The book is published by Russell Sage Foundation. The audiobook is published by University Press Audiobooks.
“Passionately demonstrates how ethical algorithms, like democracy itself, require constant tending. A must-read.” (Virginia Eubanks, University at Albany, SUNY)
“Essential reading for anyone interested in civil rights, the biases of data, and holding algorithmic systems accountable.” (danah boyd, founder and president, Data & Society)