4 terms

AI Ethics

Fairness

Fairness is the quality of making judgments and decisions that are free from bias, favoritism, or injustice, ensuring equal treatment for all individuals or groups.

AI Ethics

Fairness Metrics

Fairness metrics are quantitative measures used to evaluate and ensure equitable treatment and unbiased outcomes in algorithms and decision-making systems.

AI Ethics

Feature Importance

Feature Importance is a technique used in machine learning to identify which variables most influence the outcome of a predictive model.

AI Ethics

Formal Verification

Formal Verification is a mathematical process used to prove or disprove the correctness of a system's design against specified properties or requirements.