At The Guardian, Cathy O'Neil writes about why algorithms can be wrong. She classifies the reasons into four categories on a spectrum ranging from unintential errors to outright malfeasance. As algorithms now make a large portion of the decisions affecting our lives, scrutiny is ever more important and she provides multiple examples in each category of their impact.
(Score: 0) by Anonymous Coward on Monday July 17 2017, @09:29PM
As a consumer, how do I locate a product that fits into this middle ground?
Most products are bought on some combination of features and cost. This pretty much dictates that products that have more than the bare minimum spent on QA and testing will be more expensive and less likely to survive competition (unless these costs are spread over a huge production run). Before software was a big part of many products, the same was true with products that look similar, but some are built from better materials and work/last better.
A wise old friend used to say, "Everything good goes out of the market." And my corollary to that is, "If you see something good that you like, better buy it right away."