They presented their latest research project, focusing on how algorithmic bias can affect decisions in sensitive areas of public policy. In particular, they focused on their FAccT paper about a Decision Support System used by the Danish social sector, where algorithms have been tested to assess the risk of maltreatment for children. Their work showed that the algorithm was biased with respect to age: for instance, a 16-year-old shoplifter was rated at higher risk than a 2-month-old baby livin...
