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Informe 2025 sobre la transparencia de la IA responsable
La adopción de la IA se está acelerando, y hay que equilibrar la innovación con la responsabilidad. El informe "2025 Responsible AI Transparency Report" detalla los marcos de gobernanza, las políticas y los compromisos de los clientes de Microsoft para crear una IA digna de confianza. Descargue el informe para ver cómo estas prácticas pueden ayudar a su organización sin fines de lucro a cumplir con los requisitos de cumplimiento, fortalecer la confianza y garantizar un impacto responsable. Póngase en contacto con Barysa S.A. para hablar de cómo podemos ayudarle en su viaje hacia la IA responsable.
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What is the focus of Microsoft's Responsible AI Transparency Report?
The Responsible AI Transparency Report outlines Microsoft's commitment to building AI technologies that are trustworthy. It emphasizes how Microsoft develops and deploys AI systems responsibly, supports customers in responsible AI practices, and evolves its governance based on stakeholder feedback. The report also discusses the importance of effective AI governance, especially as organizations increasingly adopt AI technologies.
How does Microsoft manage AI risks?
Microsoft employs a multi-layered approach to manage and mitigate AI risks throughout the development lifecycle. This includes following the AI Risk Management Framework from the National Institute for Standards and Technology (NIST), which consists of four key functions: govern, map, measure, and manage. By establishing clear policies and processes, Microsoft aims to uphold its AI principles consistently while addressing emerging risks.
What are the key components of Microsoft's AI governance framework?
Microsoft's AI governance framework includes the Responsible AI Standard, which serves as an internal playbook for aligning AI development with principles such as fairness, reliability, and transparency. The framework also integrates the Frontier Governance Framework, which monitors advanced AI model capabilities and assesses potential risks. Additionally, cross-functional teams collaborate to ensure compliance with evolving regulations, such as the EU AI Act, and to support responsible AI practices across the organization.
Informe 2025 sobre la transparencia de la IA responsable
published by Barysa S.A
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