Exploring Responsible AI Tools and Principles for Model Deployment

This chapter explores the significance of responsible AI issues and introduces a comprehensive toolkit for monitoring fairness, inclusiveness, data privacy, accountability, reliability, and safety in AI models. It emphasizes the integration of error analysis, interpretability, and model fairness in one dashboard, along with the availability of counterfactual documentation from Microsoft.