Ethics & Safety · Advanced
Responsible AI on Azure: Transparency Notes, the RAI Dashboard and Regulatory Mapping
Microsoft's responsible AI machinery is unusually concrete - transparency notes per service, an impact assessment template, and a dashboard. Learn to use it as evidence rather than decoration.
- 45 min lesson
- intermediate level
- Azure AI Track
- Narrated presentation
What you’ll learn
- Microsoft's six responsible AI principles and why principles alone are insufficient
- Transparency Notes: intended use, unsuitable use, limitations and performance variation
- Data, privacy and security note - retention, abuse monitoring and modified abuse monitoring
- Responsible AI dashboard: error analysis, fairness, interpretability, counterfactuals, causal analysis
- The Responsible AI Impact Assessment as an early forcing function
- EU AI Act and NIST AI RMF need evidence, not features
- The practical minimum evidence pack for a production system
Inside this lesson
A narrated, slide-by-slide presentation with 1 prediction exercise, 1 knowledge check, 3 videos. You answer as you go, and the platform checks your work.