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Video course · 6 chapters · 10 min · certificate

Responsible Generative AI Development for Microsoft Developers: Principles & Tools

Build generative AI responsibly: why it matters, potential harms such as ungrounded outputs, harmful content and unfairness, responsible AI practices, measuring harms, four layers of mitigation and putting it into practice with tools like Azure AI Content Safety.

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What you'll learn

  • Explain why responsible AI matters
  • Identify potential harms of GenAI apps
  • Apply responsible AI principles
  • Measure potential harms
  • Use four layers of mitigation
  • Apply tools like content safety APIs

Chapters

6 chapters · 9:30
  1. 1:15 01Intro Members Lesson overview Responsible AI for generative applications.
  2. 1:16 02Principles Members Why responsible AI Goals and importance.
  3. 1:23 03Harms Members Potential harms Ungrounded outputs and unfairness.
  4. 1:22 04Practice Members Practices and measuring harms Using GenAI responsibly and measuring harms.
  5. 2:09 05Mitigation Members Four layers of mitigation Model, safety system, prompt and UX layers.
  6. 2:05 06Tools Members Putting it into practice Azure AI Content Safety and tools.

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