Apply Ethical AI Principles Using the Responsible AI Dashboard
35mBeginner2023-12-05
Authors

Rodrigo Díaz Concha
Solutions Architect, Microsoft Regional Director, and Microsoft MVP
Course details
If you’re creating machine learning models and want to embrace responsible AI principles, this course with instructor Rodrigo Diaz Concha takes you through the Responsible AI Dashboard that can be used in web applications and in the Azure cloud. Rodrigo first details the framework of the six guiding principles Microsoft considers key to responsible AI: fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability. He then covers the Microsoft tools that are available to ML professionals for operationalizing responsible AI. In the second half of the course, he looks at real-world implementation of Microsoft's Responsible AI Dashboard and shows how to create a Responsible AI Dashboard within a real estate scenario, examining data fairness, model outcomes, and causal analysis.
Skills covered
Azure AI ServicesResponsible AINetwork AdministrationCloud PlatformsArtificial Intelligence (AI)Network and System AdministrationCloud ComputingMicrosoftDeep Dive (X:Y)
Concepts
0. Introduction
- 01 - Responsible AI dashboard
- 02 - What you should know
1. Foundations of Responsible AI
- 03 - What is responsible AI
- 04 - Microsoft responsible AI principles
- 05 - Tools for responsible AI
- 06 - What is the responsible AI dashboard
- 07 - Ways to use the responsible AI dashboard
2. Using the Responsible AI Dashboard
- 08 - Creating the responsible AI dashboard
- 09 - Error analysis component
- 10 - Model overview and performance analysis component
- 11 - Data analysis component
- 12 - Feature importances component
- 13 - Counterfactuals component
- 14 - Causal analysis component
- 15 - Using the responsible AI dashboard in Azure ML Studio
Conclusion
- 16 - Next steps
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