Advanced · Safety
Fairness constraint
Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.
TL;DR. An imposed restriction on an algorithm to ensure specific fairness criteria are met.
Technical Definition
An imposed restriction on an algorithm to ensure specific fairness criteria are met.
How it works
A fairness constraint is a rule or condition integrated into a machine learning model's training or output process to guarantee that certain fairness metrics are satisfied. This can involve modifying the loss function, applying post-processing to predictions, or directly incorporating mathematical constraints into the optimization problem.
Related Concepts
- Bias (ethics/fairness) — Unfair prejudice or favoritism towards certain groups or things, which can influence data, system design, and user interactions.
- Fairness metric — A quantifiable measure used to assess the fairness of a model's predictions across different groups.
- Responsible AI (RAI) — A holistic framework encompassing the ethical, legal, and societal implications of AI, promoting trustworthy and beneficial systems.