There are several good reasons why there's increasing wariness and a limited degree of trust in the use and adoption of AI, especially in the public sector. We've all read the news stories about predictive policing, the use of affective computing in the education systems, and inaccurate health diagnosis made by automated systems. While these technologies have yet to be perfected, they are not going away. This is why it's imperative to work together not to protest these technologies, but influence how they are being designed, developed, and deployed. This presentation will highlight work underway to build the practical tools needed to support the responsible implementation of AI in the public sector and beyond.