While automatic hate speech detection as a solution to anti-social behaviour on social media platforms; critical AI researchers have found that the ‘datafication’ of hate speech detection an unnecessary distraction in tackling this social issue. In this talk, I will describe some of the existing challenges in automatic hate speech detection – both ethical and methodological – and explore possible solutions to ensure that the applications of this research can meet the needs of target communities.