Gender Shades

Gender Shades is a research project that examines how artificial intelligence systems, specifically facial recognition technologies, perform across different demographic groups. It highlights that these systems often have higher error rates for women and people of color, particularly darker-skinned women. This discrepancy can lead to unintended consequences, such as misidentification and bias in outcomes like hiring or law enforcement. The project aims to raise awareness about these biases, promote fairness in AI development, and encourage more inclusive data practices to improve the accuracy and reliability of these technologies for everyone.