  Today, artificial intelligence systems driven by machine learning algorithms
can be in a position to take important, and sometimes legally binding,
decisions about our everyday lives. In many cases, however, these systems and
their actions are neither regulated nor certified. To help counter the
potential harm that such algorithms can cause we developed an open source
toolbox that can analyse selected fairness, accountability and transparency
aspects of the machine learning process: data (and their features), models and
predictions, allowing to automatically and objectively report them to relevant
stakeholders. In this paper we describe the design, scope, usage and impact of
this Python package, which is published under the 3-Clause BSD open source
licence.
