Disparate treatment: Revision history

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19 March 2023

  • curprev 19:1719:17, 19 March 2023‎ Walle talk contribs‎ 3,187 bytes +3,187‎ Created page with "{{see also|Machine learning terms}} ==Disparate Treatment in Machine Learning== Disparate treatment in machine learning refers to the unjust or prejudicial treatment of individuals or groups based on certain attributes, such as race, gender, or age, in the context of algorithmic decision-making systems. This phenomenon occurs when the model learns to make biased decisions due to the presence of discriminatory patterns in the training data, resulting in unfair treatment f..."
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