Algorithmic Bias
Algorithmic bias refers to systematic errors in artificial intelligence or machine learning systems that result in unfair or unequal outcomes for certain groups. Bias can arise from training data, modeling choices, or deployment contexts. RTI evaluates algorithmic bias and helps organizations develop fairer, more transparent AI systems.
