Microsoft Responsible AI Principles
Microsoft's Responsible AI Principles provide guidance for designing, building, and testing AI systems that are fair, reliable, secure, inclusive, transparent, and accountable.
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Fairness
AI systems should treat all people fairly when allocating opportunities, resources, and information, ensuring equitable treatment across different user groups and contexts.
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Reliability and safety
AI systems should perform reliably and safely across different use conditions and contexts, including ones they weren’t originally intended for, maintaining consistent performance.
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Privacy and security
AI systems should be secure and respect privacy by design, protecting user data and ensuring systems are built with privacy and security considerations from the start.
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Inclusiveness
AI systems should empower everyone and engage all people regardless of their backgrounds or abilities, ensuring accessibility and usability for diverse user populations.
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Transparency
AI systems should be understandable so people correctly comprehend their capabilities, limitations, and decision-making processes for informed interaction.
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Accountability
People should be accountable for AI systems through proper oversight and control mechanisms, ensuring humans remain in control and can address system impacts.
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