Responsible AI in the Enterprise

Table of Contents

1. A Primer on Explainable and Ethical AI
2. Algorithms Gone Wild - Bias's Greatest Hits
3. Opening the Algorithmic Blackbox
4. Operationalizing Model Monitoring
5. Model Governance - Audit, and Compliance Standards & Recommendations
6. Enterprise Starter Kit for Fairness, Accountability and Transparency
7. Interpretability Toolkits and Fairness Measures – AWS, GCP, Azure, and AIF 360
8. Fairness in AI System with Microsoft FairLearn
9. Fairness Assessment and Bias Mitigation with FairLearn and Responsible AI Toolbox
10. Foundational Models and Azure OpenAI