2020-12-23T12:07:00+01:00
Dec 23, 2020
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1 min read
The Markup reviews reviewed different examples of controversial uses of machine learning algorithms in 2020:
Every year there are myriad new examples of algorithms that were either created for a cynical purpose, functioned to reinforce racism, or spectacularly failed to fix the problems they were built to solve. We know about most of them because whistleblowers, journalists, advocates, and academics took the time to dig into a black box of computational decision-making and found some dark materials.
Authors
Wouter Van Rossem is a researcher on the intersection between social science and computer science. He previously worked on the European Research Council (ERC) funded project, Processing Citizenship, where he investigated how data infrastructures for population processing co-produce citizens, Europe, and territory. He completed his PhD at the University of Twente in the Netherlands and is still working on publications stemming from these impactful projects. In addition to his academic pursuits as a PhD at the University of Twente in the Netherlands, he brings a diverse background as a software engineer, having worked in various companies and at the European Commission’s Joint Research Centre in Italy. His diverse background, spanning both theoretical and hands-on knowledge, reflects his keen interest in exploring the intricate interconnections between technology and society.