There's a literal elephant in machine learning's room

Machine learning image classifiers use context clues to help understand the contents of a room, for example, if they manage to identify a dining-room table with a high degree of confidence, that can help resolve ambiguity about other objects nearby, identifying them as chairs. Read the rest

Two years later, Google solves 'racist algorithm' problem by purging 'gorilla' label from image classifier

In 2015, a black software developer named Jacky Alciné revealed that the image classifier used by Google Photos was labeling black people as "gorillas."

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Adversarial patches: colorful circles that convince machine-learning vision system to ignore everything else

Machine learning systems trained for object recognition deploy a bunch of evolved shortcuts to choose which parts of an image are important to their classifiers and which ones can be safely ignored. Read the rest