Fairness is the quality of making judgments and treating people in a manner that is just, equitable, and free of discrimination or dishonesty. It balances individual circumstances with established rules to ensure everyone receives what they need or deserve, rather than treating everyone identically. [1, 2, 3, 4, 5]
The concept of fairness spans multiple dimensions:
- Equality vs. Equity: Equality means treating everyone the same way. Equity (or fairness) implies giving individuals what they need based on their unique circumstances, which can mean differing treatments to achieve a fair outcome.
- Procedural Fairness: Refers to the fairness of the processes or rules by which decisions are made (e.g., following an objective set of rules, ensuring due process).
- Distributive Fairness: Focuses on the fairness of the ultimate outcomes, such as how resources, rights, or wealth are allocated across a society. [1, 8, 9, 10, 11]
For more detailed applications of this concept, you can explore the Cambridge Dictionary Definition or read about how fairness is quantified in Machine Learning Principles. [12]
AI responses may include mistakes.
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