Fairness

When AI Image Generators Forget Culture—and How to Fix It

Why it matters Text-to-image tools look stunning, but when you prompt them in different languages, the cultural details often fade. Many outputs drift toward “neutral” or English-centric imagery instead of reflecting local customs, symbols, and styles. What’s new * The team shows the problem isn’t missing knowledge—culture cues

Who Does Your Medical AI Miss? Age Bias in Tumor Segmentation

If your AI segments tumors, who is it serving—and who might it be failing? A new audit of the MAMA-MIA breast cancer segmentation dataset examines fairness not in classification, but in segmentation—the step that often feeds every downstream decision. * Researchers evaluated automated segmentation quality by age, ethnicity, and