Rights & Ethics
No discriminación y equidad algorítmica
AI systems must avoid biases or discriminatory effects, ensuring fair and equitable treatment.
Definition
The principle that AI systems must be designed and used to avoid biases or discriminatory effects, ensuring fair and equitable treatment for all individuals.
Related Terms
Algorithmic fairness
Ensuring AI does not discriminate and promotes equity....
Justice/Fairness
Measures to prevent discriminatory or biased outcomes....
Ethical AI
AI designed to respect privacy, fairness, accountability and safety....
Non-discrimination by design
Proactive design and governance to prevent discriminatory outputs....
Equitable AI
AI that produces fair outcomes and equitable benefits for disabled people....