Via the Guardian Tom Chatfield on gazing at reality through computers’ data-crunching models:
When Facebook asks me what I “like”, it’s making the convenient assumption that I feel one of two ways about everything in the world – indifferent or affectionate. When it aggregates the results of mine and a billion other responses, marvellous insights emerge. But these remain based on a model of preference that might kindly be called moronic.
Similarly, every measurement embodies a series of choices: what to include, what to exclude. If a computer could learn to recognise images of cats with absolute accuracy, would that mean it knew what a cat was? Not unless you redefined cats as silent, immobile, odourless sequences of information describing two-dimensional images. If a computer could learn to identify you with absolute accuracy via surreptitiously scraped data from your social media presence, phone calls and banking activities, would that mean it knew what it means to be you? Not unless you redefined a person as a series of traceable numbers monitored ceaselessly by a series of machines. Which, of course, sounds like an excellent idea to some people.
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