Moving beyond ‘all models are wrong’ and into rational AI







The cold, calculating ‘mind’ of a machine has no capacity for emotion. Alexa doesn’t care if you call it names. DeepMind’s AlphaGo will never actually taste the sweet joy of victory. Despite this, they’re more like humans than you might think. They’re nearly always wrong and virtually incapable of being rational. British statistician George Box famously stated “all models are wrong, but some are useful” in a research paper published in 1976. While he was referring to statistical models, it’s well-accepted that the aphorism applies to computer models as well, and thus it makes sense from an AI point of view.…

This story continues at The Next Web


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