FairnessAlgorithmen
Fairness algorithms are a class of computational methods designed to mitigate bias in artificial intelligence systems and decision-making processes. As AI is increasingly used in areas like hiring, loan applications, and criminal justice, concerns have arisen that these systems can perpetuate or even amplify existing societal biases present in the data they are trained on. Fairness algorithms aim to address this by incorporating notions of fairness into the design and deployment of AI models.
There are various definitions of fairness, and different algorithms focus on different interpretations. Some common fairness
The application of fairness algorithms involves several stages. During data preprocessing, techniques may be used to