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Researchers Reduce Bias in AI Models While Preserving or Improving Accuracy

Summary by MIT
A new technique identifies and removes the training examples that contribute most to a machine-learning model’s failures.   Copyright: news.mit.edu – “Researchers Reduce Bias in AI Models While Preserving or Improving Accuracy”   Machine-learning models can fail when they try to make predictions for individuals who were underrepresented in the datasets they were trained on. For instance, a model that predicts the best treatment option for someo…

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MIT broke the news in Cambridge, United States on Thursday, December 26, 2024.
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