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Apr 13, 2015

If Algorithms Know All, How Much Should Humans Help?

Posted by in categories: robotics/AI, software

Steve Lohr | The New York Times


“Many data quants see marketing as a low-risk — and, yes, lucrative — petri dish in which to hone the tools of an emerging science. ‘What happens if my algorithm is wrong? Someone sees the wrong ad,’ said Claudia Perlich, a data scientist who works for an ad-targeting start-up. ‘What’s the harm? It’s not a false positive for breast cancer.’…These questions are spurring a branch of academic study known as algorithmic accountability.” Read more

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