Fairness Metrics | Vibepedia

Fairness metrics are used to evaluate and improve the fairness of machine learning models, ensuring that automated decision-making processes are unbiased and equitable. These metrics help identify and mitigate algorithmic bias, which can have significant impacts on individuals and groups. Researchers and developers use fairness metrics to develop more transparent and accountable AI systems, as seen in the work of [[timnit-gebru|Timnit Gebru]] and [[joy-buolamwini|Joy Buolamwini]] on [[facial-recognition|facial recognition]] bias.