Algorithmic Bias: Detection, Mitigation, And Finest Practices Equity In Artificial Intelligence
Thus, as an alternative of specializing in label imbalance, we aimed to formulate a deep RL framework with the particular purpose of improving algorithmic fairness and mitigating unwanted biases (Fig. 1). We employed threshold adjustment to make sure excessive sensitivity in our classification tasks, specifically for COVID-19 prediction and ICU affected person discharge prediction. This technique […]