In AI terms, 'robustness' and 'robust' take a slightly different meaning from the definitions you might be familiar with. Robustness refers to an AI model's ability to maintain performance when faced with adversarial attacks, unexpected inputs, or changing environments. It's worth us highlighting that systems are mostly designed to maximise 'accuracy' scores, which can only be guaranteed at that moment in time and against the testing data. The reality of the real world is that things change and unexpected things happen. A robust AI system is better prepared to withstand such challenges and deliver more reliable outcomes over time.