Principles and approach

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Microsoft emphasizes the importance of developing AI systems that are transparent, reliable, and trustworthy. The company has established a Responsible AI Standard that outlines six guiding principles for AI development, including fairness, reliability, privacy, inclusiveness, transparency, and accountability. These principles aim to ensure that AI technologies benefit society while mitigating risks associated with their deployment.

The Responsible AI Standard serves as a framework for organizations to implement ethical AI practices effectively. Microsoft also provides tools and resources to help businesses adopt these principles, ensuring compliance with emerging AI regulations. By fostering a responsible AI community, Microsoft aims to lead the way in ethical AI development and deployment.

• Microsoft outlines six principles for responsible AI development.

• The Responsible AI Standard guides ethical AI practices and compliance.

Key AI Terms Mentioned in this Article

Responsible AI

Responsible AI refers to the ethical development and deployment of AI technologies to ensure fairness and accountability.

Transparency

Transparency in AI involves making AI systems understandable to users, ensuring they know how decisions are made.

Inclusiveness

Inclusiveness in AI design ensures that systems engage all people, regardless of their background or abilities.

Companies Mentioned in this Article

Microsoft

Microsoft is a leading technology company that develops AI systems guided by ethical principles to promote responsible use.

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