An anonymous reader shared this report from the Washington Post's "Tech Brief":
Last fall, reports that Kroger was considering bringing facial recognition technology into its stores sparked outcry from lawmakers and customers. They worried personalized data could be used to charge different prices for different customers based on their shopping habits, financial circumstances or appearance. Kroger, the country's largest supermarket chain, had already been using digital price tags in its stores.
Kroger told lawmakers that it doesn't use facial recognition to help it set prices, a stance the company reiterated to the Tech Brief on Thursday. Still, the uproar helped to spark a push by consumer advocates who warn that the threat of invasive, personalized pricing schemes is real. Now, Democratic lawmakers in several states are working to ban so-called "surveillance pricing" — when businesses charge customers more or less for the same item based on their personal information.
Besides a bill in California, three more bill were introduced this month in Colorado, Georgia, and Illinois that also ban "surveillance wages," which the article defines as employers adjusting wages based on how much data an employee collects. "Both surveillance pricing and surveillance wages really disrupt fundamental ideals of fairness," University of California, Irvine law professor Veena Dubal tells the Washington Post.
Dubal is one of the consumer advocates behind a new report which notes information released last month by America's consumer-protecting FTC that "suggests that surveillance pricing tools are being actively developed and marketed across a range of industries, including consumer-facing businesses like 'grocery stores, apparel retailers, health and beauty retailers, home goods and furnishing stores, convenience stores, building and hardware stores, and general merchandise retailers such as department or discount stores." The consumer advocates (which include the Electronic Privacy Information Center) put it this way.
"Imagine walking into a grocery store and seeing a price for milk that's higher than what the next shopper pays because an algorithm calculated that you're willing to spend more..."
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