When the Machine Thinks, What Does It Assume?

Machine learning may be neck and neck with “big data” in the race to being Hollywood’s favorite catch-all term for technology as magic. Like big data, such outsider interest is driven by real successes of the approach. “We didn’t know how to get a car to drive itself 10 years ago. Now we are very close,” says Thibaut Lamadon, an assistant professor of economics at the University of Chicago. Netflix recommendations, AI assistants in our homes, and even our image searches for cat pictures have been invisibly improved by machine learning , a branch of computer science focused on giving computers the ability to recognize patterns and to learn and adapt to given contexts without being explicitly programmed for them. “Machine learning really has had undeniable success,” says Lamadon. “And…

Link to Full Article: When the Machine Thinks, What Does It Assume?

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