Yellow Flower (IMAGE)
Caption
A new method to decode the decision-making processes used by 'black box' machine learning algorithms works by finding the minimum input that will still yield a correct answer. In this example, the researchers first presented an algorithm with a photo of a sunflower and asked 'What color is the flower?' This resulted in the correct answer, 'yellow.' The researchers found that they could get the same correct answer, with a similarly high degree of confidence, by asking the algorithm a single-word question: 'Flower?'
Credit
Shi Feng/University of Maryland
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