Bias and Unfairness in Machine Learning Models: A Systematic Review on Datasets, Tools, Fairness Metrics, and Identification and Mitigation Methods

BDCC | Free Full-Text | Bias and Unfairness in #MachineLearning ...https://t.co/y4sQUoVOdA https://t.co/4cAgY8cR2Y

📌New Research by Dr. Ingrid Winkler et al.: "Bias and Unfairness in Machine Learning Models: A Systematic Review on Datasets, Tools, Fairness Metrics, and Identification and Mitigation Methods" #bias #unfairness #machinelearning #AI Access for Free: h…

Systematic Review: Bias and Un-#fairness in #MachineLearning Models Findings: 1. lack of multiclass and multimetric studies 2. different fairness metrics do not present uniform results for a given use case #interpretability #explainability #DeepLearni…