“The thing to realize about artificial intelligence and machine learning algorithms is they’re not perfect. The question is which errors are more costly than others. When you’re constructing an algorithm, you tell them this error is okay, but not that costly. But if you make this error, then it’s a million times more costly than the other error. The machines will try not to make that error more frequently than the others. The programmer himself has to encapsulate that information when they’re creating that program for the machines to do the right job.”
—DEEPAK AGARWAL, “At LinkedIn, artificial intelligence is like oxygen”, Mercury News, January 6, 2017.
