Fairness

Caesar AI Atlas Definition

Fairness in AI refers to the principle that AI systems should treat individuals and groups equitably and avoid unjustified discrimination or harmful bias. It involves identifying and mitigating bias in data, models, deployment contexts, and decision processes.

Other Definitions

Fairness Source

In the context of artificial intelligence, fairness refers to the equitable treatment of individuals or groups without discrimination or bias. Fairness involves ensuring that AI systems do not systematically disadvantage specific demographics or perpetuate existing inequalities. Achieving fairness in AI is crucial to advancing social justice, inclusivity, and public trust in the technology.

Also Referenced In

MIT Media Lab — AI Glossary/Dictionary Blue Prism — AI Terminology / AI Terms basebox — AI Glossary for Executives

Concept Comparisons

Common ConfusionAi Governance

Bias vs Fairness

A side-by-side comparison of Bias and Fairness. Understand the difference between a systematic tendency that affects outcomes and a governance principle for equitable treatment.