In this edition of Normal Deviance, the story of the UK algorithm to assign high school grades following exam cancellations, teaches an important lesson for everyone building models where questions of individual fairness arise.
In this Normal Deviance column Hugh Miller draws parallels between the summer of extremes seen in Australia and the need to think about resilience when doing data analytics work.
Our models are often built on the high-quality data that we can see, but ignore valuable information that falls outside our usual data collection. Hugh unpacks this idea in his semi-regular Normal Deviance column.
