Responsible artificial intelligence (AI) deals with preventing and mitigating serious risks caused by AI outputs. To stay a step ahead, you need to understand the appropriate strategies that come with Generative AI. To do that, you need to monitor AI fairness. The first step to AI fairness is to carefully monitor and remediate any imbalance in the dataset you provide to your AI to train on. With the advent of LLMs, it has become very difficult to peek into the black box. You can use techniques such as SHAP and LIME to carve out explainability from traditional AI as much as possible.