Can AI Generate Diversity?

The video discusses the Draw-a-Scientist Test, highlighting gender disparity in children's perceptions of scientists. It explores challenges in data representation and introduces synthetic data as a solution. The video covers applications of synthetic data, such as data privacy and fraud detection, while addressing ethical concerns like exploitation and bias. It concludes with a discussion on bias in machine learning and the importance of diversity.

What ethical concerns arise from the use of AI-generated images?

In what ways can synthetic data be beneficial for data privacy?

What are the potential risks of using AI-generated images in place of real photographs?