Unawareness (to a sensitive attribute): Revision history

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21 March 2023

  • curprev 22:2822:28, 21 March 2023‎ Walle talk contribs‎ 2,891 bytes +2,891‎ Created page with "{{see also|Machine learning terms}} ==Unawareness in Machine Learning== Unawareness in machine learning refers to the deliberate exclusion or ignorance of specific sensitive attributes during the process of model training and decision-making. Sensitive attributes are those that may potentially lead to unfair or discriminatory outcomes, such as race, gender, age, or sexual orientation. The primary goal of incorporating unawareness in machine learning is to ensure fairness..."
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