Rights & Ethics
Algorithmic fairness
Ensuring AI does not discriminate and promotes equity.
Definition
Algorithmic fairness means AI systems must not discriminate against individuals or groups based on protected characteristics and must promote equitable outcomes; it requires pre-deployment bias testing and ongoing monitoring to detect and mitigate discriminatory outcomes.
Related Terms
Justice/Fairness
Measures to prevent discriminatory or biased outcomes....
Ethical AI
AI designed to respect privacy, fairness, accountability and safety....
Inclusive AI
AI designed to serve all segments of society equitably....
No discriminación y equidad algorítmica
AI systems must avoid biases or discriminatory effects, ensuring fair and equitable treatment....
Equitable AI
AI that produces fair outcomes and equitable benefits for disabled people....