fairness - Concepts

Explore concepts tagged with "fairness"

Total concepts: 5

Concepts

AI Fairness - The study and practice of ensuring AI systems produce equitable outcomes and do not discriminate against individuals or groups based on protected characteristics.
Organizational Justice - The study of fairness perceptions in the workplace, encompassing how decisions are made, resources are distributed, and people are treated.
Algorithmic Bias - Systematic errors in AI and automated systems that create unfair outcomes, often reflecting or amplifying human biases present in training data or design choices.
AI Bias - Systematic errors in AI outputs caused by biases in training data, model architecture, prompts, or agent configurations that must be continuously monitored and mitigated.
Equity - The principle of fairness that recognizes different people need different resources and support to achieve equal outcomes.