Group attribution bias: Revision history

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20 March 2023

  • curprev 05:0305:03, 20 March 2023‎ Walle talk contribs‎ 4,320 bytes +4,320‎ Created page with "{{see also|Machine learning terms}} ==Introduction== Group attribution bias is a term used to describe a phenomenon in machine learning where an algorithm systematically and unfairly associates certain characteristics or outcomes with specific groups of individuals. This bias often stems from the training data that a machine learning model is exposed to, which may contain unrepresentative or skewed examples. When a model is trained on such data, it may inadvertently lear..."
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