La equidad en IA se refiere al principio de que los sistemas de IA deben tratar a individuos y grupos de manera equitativa y evitar discriminación injustificada o sesgo perjudicial. Implica identificar y mitigar sesgos en datos, modelos, contextos de despliegue y procesos de decisión.
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.