From the news we consume to our suggested Netflix content, algorithms are becoming increasingly influential on our day-to-day existence. But as more sectors recognise the economic potential of machines at large-scale application, the impact of technology is becoming far greater.

Today, machine learning models are frequently applied to guide decisions in areas such as assessing candidate risk in loan applications. Suddenly, a computer’s decisions have become far more than simply which films we’re most likely to enjoy. However, we often find that increasingly complex machine learning models lack ‘explainability’ — the professionals depending on them can’t interpret them.