Systems Smart Enough to Know When They’re Not Smart Enough

 

So the more Google and other answer machines become the authorities of record, the more their imperfect understanding of the world becomes accepted as fact. Designers of all data-driven systems have a responsibility to ask hard questions about proper thresholds of data confidence—and how to communicate ambiguous or tainted information. How can we make systems that are not only smart enough to know when they’re not smart enough… but smart enough to say so and signal that human judgment has to come into play?

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