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Between 2008 and 2011, the dysfunctional North London line was improved and rebranded into a high‐quality, high‐frequency service: the London Overground. Great ambitions for regeneration came with this project: The improved line, running through deprived areas of East London, was expected to bring inward investment and to open access to new opportunities outside the borough to its residents.
Corporations gather massive amounts of personal data to predict how individuals will behave so that they can profitably price goods and allocate resources. This article investigates the moral foundations of such increasingly prevalent market practices. I leverage the case of credit scores in car insurance pricing—an early and controversial use of algorithmic prediction in the U.S. consumer economy—to unpack the premise that predictive data are fair to use and to understand the conditions under which people are likely to challenge that moral logic.
South African wine producers are more successful in the American market when they partner with importers that know little about their wines. Ignorance is better than expertise, and leads to a handful of wineries being very successful in the market, while most barely make a splash.