Do No Harm - A Checklist for Responsible AI
summary
Covers Responsible AI guiding principles and concrete Microsoft tools and technology for implementing them on Azure, with detailed technical discussion and live demos. Targets an advanced developer/engineer audience (L300–L400) showing how to operationalize the checklist using Microsoft offerings.
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chapters (16)
- 0:00Introduction
- 1:26Why AI needs responsibility
- 2:29Microsoft’s six principles
- 6:47Privacy and security in AI
- 8:52Putting principles into practice
- 11:46Human-AI interaction guidelines
- 20:10Responsible conversational AI
- 26:21Fairness and diversity in AI
- 28:09Respecting user privacy
- 30:21Understand Protect Control framework
- 32:07Tooling for responsible AI
- 34:37Fairness assessment demo
- 41:45Interpretability and explainability
- 43:33Protecting data from misuse
- 45:41Model control and auditability
- 47:03Summary and closing
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