As facial recognition technology comes into wider use worldwide, more attention has fallen on the imbalance in the technology’s performance across races. As a result of their research, the UT Dallas scientists concluded that while there isn’t a one-size-fits-all solution for racial bias in facial recognition algorithms, there are specific approaches that can improve the technology’s performance. Or is there something inherent about the algorithms’ computation of face representations different between race groups?”O’Toole added, “Our discussion of image difficulty for racial bias is a relatively new topic. We show that as pairs of images become more difficult to distinguish — as quality is reduced — racial bias becomes more pronounced. O’Toole said researchers in her field are still fighting myths that exist about facial recognition bias.