Robustness in AI

Human involvement remains crucial in AI development, especially when considering the robustness of models. If a classification changes with simple alterations, like rotating an image, the questions around explainability become misguided. Focusing first on achieving invariance to basic variables sets a stronger foundation for meaningful explanations in machine learning.