Explainable Ai Or Generative Ai: Approaches For Ai Development

This article compares the approaches of Explainable AI and Generative AI in AI development and their impact on the future of technology. It discusses how Explainable AI aims to make AI decisions transparent and accountable to humans, while Generative AI focuses on creating original content. The article also explores techniques such as SHAP and LIME for evaluating model predictions and the use of proxy models for interpretability.