Individual fairness: Revision history

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20 March 2023

  • curprev 05:0505:05, 20 March 2023‎ Walle talk contribs‎ 3,089 bytes +3,089‎ Created page with "{{see also|Machine learning terms}} ==Individual Fairness in Machine Learning== Individual fairness in machine learning refers to the concept of ensuring that similar individuals are treated similarly by a machine learning algorithm. This idea has gained significant attention in recent years due to concerns about the potential for algorithmic bias and unfair treatment of individuals in various domains, including finance, healthcare, criminal justice, and hiring practices..."
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