These new tools let you see for yourself how biased AI image models are

After analyzing the images generated by DALL-E 2 and Stable Diffusion, they found that the models tended to produce images of people that look white and male, especially when asked to depict people in positions of authority. That was particularly true for DALL-E 2, which generated white men 97% of the time when given prompts like "CEO" or "director." That's because these models are trained on enormous amounts of data and images scraped from the internet, a process that not only reflects but further amplifies stereotypes around race and gender. But these tools mean people don't have to just believe what Hugging Face says: they can see the biases at work for themselves. For example, one tool allows you to explore the AI-generated images of different groups, such as Black women, to see how closely they statistically match Black women's representation in different professions.