researcher find race
Researchers find race, gender, and style biases in art-generating AI systems
As research pushes the boundaries of what's possible with AI, the popularity of art created by algorithms -- generative art -- continues to grow. From creating paintings to inventing new art styles, AI-based generative art has been showcased in a range of applications. But a new study from researchers at Fujitsu investigates whether biases might creep into the AI tools used to create art. Leveraging models, they claim that current AI methods fail to take into account socioeconomic impacts and exhibit clear prejudices. In their work, the researchers surveyed academic papers, online platforms, and apps that generate art using AI, selecting examples that focused on simulating established art schools and styles.