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learn-pr/wwl-data-ai/embrace-responsible-ai-principles-practices/1-introduction.yml

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title: Introduction
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learn-pr/wwl-data-ai/embrace-responsible-ai-principles-practices/2-prepare-implications-responsible-ai.yml

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title: Prepare for the implications of responsible AI
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learn-pr/wwl-data-ai/embrace-responsible-ai-principles-practices/3-identify-guiding-principles-responsible-ai.yml

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title: Identify guiding principles for responsible AI
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title: Design a system for AI governance
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learn-pr/wwl-data-ai/embrace-responsible-ai-principles-practices/5-apply-ai-governance.yml

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title: Applying systems for AI governance
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learn-pr/wwl-data-ai/embrace-responsible-ai-principles-practices/6-discuss-practices-responsible-ai-microsoft.yml

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title: Responsible AI at Microsoft
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title: Put responsible AI frameworks in action
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title: Knowledge check
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learn-pr/wwl-data-ai/embrace-responsible-ai-principles-practices/9-summary.yml

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learn-pr/wwl-data-ai/embrace-responsible-ai-principles-practices/index.yml

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title: Embrace responsible AI principles and practices
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description: "Explore six principles to guide AI development and use - fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability."
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