Twitter Shares Results Of Algorithmic Bias Bounty Challenge
The bounty challenge opened in July after Twitter users showed that the site’s automated cropping tool favored the faces of people with lighter complexions over those with darker complexions. It raised some questions about how the software prioritized skin color and certain factors over others. The challenge sought to find what other bugs and biases the cropping system may have in order to fix the issues. First place went to Bogdan Kulynych, whose submission showed how beauty filters could game the algorithm’s scoring model, which, in turn, amplify traditional beauty standards....