The Gender Shades Project

The Gender Shades Project is a research initiative that evaluates how well facial recognition systems identify people of different genders and races. It found that these systems often perform better for white men and less accurately for women and individuals with darker skin tones. This highlights biases in the algorithms, emphasizing the need for more inclusive and fair technology development. The project aims to raise awareness and promote improvements to make AI systems more equitable for everyone.