As individuals and societies, we’re outsourcing more and more of our decisions – big and small – to machines. Whether it’s relying on an algorithm to find us a date via our favourite app, using a robo-advisor to help us decide which investment fund to trust with our life savings, or using a piece of code to decide who is cheating on their insurance claims (or, indeed, who is the sort of person who is likely to cheat the system), and what sentence they deserve for their crimes, we are already showing an incredible amount of trust in machines.

Machines that we don’t understand. Machines that make mistakes. Machines that are only as good as the data, assumptions and programming we fallible humans give them in the first place.