Conor O'Sullivan @conorosullyDS@social.cleverlibre.org

It is no longer enough to build models that make accurate predictions. We also need to make sure that those predictions are fair.

Doing so will reduce the harm of biased predictions. As a result, you will go a long way in building trust in your AI systems. To correct bias we need to start by analysing fairness in data and models.

Measuring fairness is straightforward.

Understanding why a model is unfair is more complicated.

If you want to understand more, you can read this article as a start:

https://towardsdatascience.com/analysing-fairness-in-machine-learning-with-python-96a9ab0d0705