Algorithms and advanced machine learning systems are being used more and more to inform sensitive, life changing decisions. They are relied on by our employers, governments, and even healthcare providers. But like people these systems are not free of bias. It can be very complicated, even impossible to understand how they arrived at a decision.

Learning systems, though designed by humans, continually learn and adapt in ways we cannot predict. They can drive our cars, anticipate our risk of hospitalisation or committing crimes. But as they start to operate more independently how do we make sure they keep doing what they are supposed to?

Chaired by Lydia Nicholas, Senior Researcher, Nesta.