Image Dataset for Unveiling Bias: Analyzing Race and Gender Disparities in AI-Generated Imagery

The images included in these zip files compose the dataset for Unveiling Bias: Analyzing Race and Gender Disparities in AI-Generated Imagery. They were systematically generated using the DALL-E 3 API. There are 2,800 images in total. These photos were utilized in a project that sought to identify racial and gender bias in AI-generated images. The pohots are organized into 3 different categories: Personal Characteristics (divided further into positive and negative), Activities, and Occupations. There are 4 prompts under positive and negative, and 10 for activities and occupations. Corresponding labels for each photograph, which indicate the race and gender of each AI-generated figure, can be found in the pojrects Anonymous Github repository.