The real danger of AI: the threshold effect

Behind any artificial intelligence lies an algorithm. Sometimes, those algorithms can create unplanned (or planned?) distortions because of
– complexity of the algorithm
– forgotten exceptions
– datasets chosen
– etc.

Here are some real-life examples listed here are really embarassing:

“Users discovered that Google’s photo app, which applies automatic labels to pictures in digital photo albums, was classifying images of black people as gorillas. Google apologized; it was unintentional.”

“But similar errors have emerged in Nikon’s camera software, which misread images of Asian people as blinking, and in Hewlett-Packard’s web camera software, which had difficulty recognizing people with dark skin tones.”


List of example here:

http://mobile.nytimes.com/2016/06/26/opinion/sunday/artificial-intelligences-white-guy-problem.html

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