ANALYSIS : The violent language of drill music has caused controversy, with police demanding censorship and pursuing injunctions. But do we really understand how drill music is received? Dr. Paul McFarlane (pictured right) and Dr. Bennett Kleinberg (pictured left) from the Department of Security and Crime Science at University College London discuss how machine learning and scientific evidence can help the police and policymakers better understand the complexity of the lyrical content of drill music and how it's consumed.

OPINION: Machine learning has tremendous possibilities for the police. However, badly used, it could be as controversial as Stop and Search. Paul McFarlane, Senior Teaching Fellow in Security and Crime Science at UCL, argues that the police must avoid 'black box' systems to be accountable for the decisions that algorithms suggest.