#text-to-image-models News & Analysis

Happy Young Women, Grumpy Old Men? Emotion-Driven Demographic Biases in Synthetic Face Generation

Researchers audited eight text-to-image models and found that emotionally conditioned prompts systematically amplify demographic biases, with negatively valenced emotions consistently shifting outputs toward White, middle-aged, male-coded faces while underrepresenting younger women and Black individuals. The study reveals that intersectional demographic combinations face near-erasure in synthetic face generation, highlighting critical gaps in current bias evaluation practices.