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Automation bias: Difference between revisions
Created page with "{{see also|Machine learning terms}} ===Automation Bias in Machine Learning== Automated bias in machine learning refers to the phenomenon where a model inherits and amplifies any biases present in its training data, leading to biased or discriminatory outcomes. Machine learning algorithms are programmed with the purpose of learning patterns and relationships in training data and making predictions based on this learned information; however, if that data contains biased el..."
(Created page with "{{see also|Machine learning terms}} ===Automation Bias in Machine Learning== Automated bias in machine learning refers to the phenomenon where a model inherits and amplifies any biases present in its training data, leading to biased or discriminatory outcomes. Machine learning algorithms are programmed with the purpose of learning patterns and relationships in training data and making predictions based on this learned information; however, if that data contains biased el...") |
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