Machine Learning, AI, Audit.
spectrum of important decisions to be made, ranging from data selection, the model type, the training & evaluation process, setting thresholds, through to deploying it and monitoring the outcomes it achieves. The crux of many discussions boiled down to being able to justify–and, where necessary,