#Ethics1

Missing real‑world detail drives AI bias

Research from the University of Texas at Austin finds that AI bias often comes from models that miss complex real‑world conditions. The study of 363 algorithms points to three key risk factors for unfair outcomes.

Photo by Jr Korpa, Unsplash