Hands-on workshop focusing on using Responsible AI tools to identify and mitigate issues that can negatively affect individuals or society. Participants will learn how to debug and mitigate ML model issues using error analysis, data analysis, model explainability, model performance and fairness assessment. Uses LLMs and traditional ML models. Prerequisites: Basic understanding of Python.