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From picking stocks to examining x-rays, artificial intelligence is increasingly being used to make decisions that were formerly up to humans. But AI is only as good as the data it’s trained on, and in many cases we end up baking our all-too-human biases into algorithms that have the potential to make a huge impact on people’s lives.
In a new paper published on the arXiv, researchers say they may have figured out a way to mitigate the problem for algorithms that are difficult for outsiders to examine—so-called “black box” systems.
