Part 5/7:
A particularly troubling statistic reveals that approximately 6% of the time—roughly 68% recognition accuracy—dark-skinned females are correctly identified by these algorithms. Conversely, dark-skinned males are recognized correctly only about 94% of the time. These figures starkly highlight racial and gender biases inherent in many facial recognition systems, which often perform significantly worse on non-white populations.