Biased algorithms: here’s a more radical approach to creating fairness

2019-1-29 15:08

Our lives are increasingly affected by algorithms. People may be denied loans, jobs, insurance policies, or even parole on the basis of risk scores that they produce. Yet algorithms are notoriously prone to biases.

For example, algorithms used to assess the risk of criminal recidivism often have higher error rates in minority ethic groups. As ProPublica found, the COMPAS algorithm – widely used to predict re-offending in the US criminal justice system – had a higher false positive rate in black than in white people; black people were more likely to be wrongly predicted to re-offend. Findings such as these…

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Here’s what your phone can learn from the sound of your voice

The vast majority of people in developed countries now carry a smartphone everywhere. And while many of us are already well aware of privacy issues associated with smartphones, like their ability to track our movements or even take surreptitious photos, an increasing number of people are starting to worry that their smartphone is actually listening to everything they say.

2018-12-8 19:00


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The Genesis Files: With Bit Gold, Szabo Was Inches Away From Inventing Bitcoin

As his Hungarian parents had fled post-war Soviet regime to settle in the United States, Nick Szabo came to call the Californian Bay area of the 1990s his home. Here, he was among the first to frequent the in-person “Cypherpunk” meetings organized by Timothy May, Eric Hughes and other founding members of the collective of cryptographers, programmers and privacy activists centered around the ’90s mailing list of the same name.

2018-7-13 17:16


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On Radical Markets

Recently I had the fortune to have received an advance copy of Eric Posner and Glen Weyl’s new book, Radical Markets, which could be best described as an interesting new way of looking at the subject that is sometimes called “political economy” - tackling the big questions of how markets and politics and society intersect.

2018-7-21 04:03


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