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The challenge asks for two different models. The first, a task for those with intermediate skills, is one that identifies hateful images; the second, considered an advanced challenge, is a model that attempts to fool the first one. "That actually mimics how it works in the real world," says Chowdhury. "The do-gooders make one approach, and then the bad guys make an approach." The goal is to engage machine-learning researchers on the topic of mitigating extremism, which may lead to the creation of new models that can effectively screen for hateful images.