负责任的 AI 常见问题解答是将 Microsoft 的 AI 原则付诸实践的更广泛努力的一部分。 要了解详细信息,请参阅 Microsoft AI 原则。相关内容Microsoft Security Copilot的负责任 AI 常见问题解答 其他资源 培训 模块 Examine how Microsoft is committed to Responsible AI - Training This module examines Microsoft'...
Explore new features that help you build more secure and trustworthy generative AI applications. Learn more Toolkit Responsible AI Dashboard Access a suite of tools to help you create a customized, end-to-end responsible AI experience. Learn more ...
Responsible Artificial Intelligence (Responsible AI) is an approach to developing, assessing, and deploying AI systems in a safe, trustworthy, and ethical way. AI systems are the product of many decisions made by those who develop and deploy them. From system purpose to how people interact with...
Read the story Back to CUSTOMER STORIES section Slide {0} {1} indicator Previous Slide Next Slide Back to LEARN MORE - Build your AI skills section AI-powered assistant What's new Surface Pro Surface Laptop Surface Laptop Studio 2 Surface Laptop Go 3 Microsoft Copilot AI in...
Microsoft's Responsible AI standard The Responsible AI Standard is the set of company-wide rules that help to ensure we are developing and deploying AI technologies in a manner that is consistent with our AI principles. We are integrating strong internal governance practices across the company, mos...
Responsible AI 活動類型: 部落格 角色: 作者 2024年3月14日 週四, 上午7:00 主要技術領域: Trustworthy AI 目標受眾: DeveloperArtificial Intelligence is no longer a futuristic concept. It has become a part of our daily developer lives (well, for me at least). From voice assistants to CoPilots ...
Help your AI practitioners prioritize fairness as they develop AI systems. Toolkit Responsible AI Dashboard Access a suite of tools to help you create a customized, end-to-end responsible AI experience. Skip to Making responsible AI attainable Showing 1-3 of 4 slides Previous Slide Next...
Azure 机器学习中的可靠性和安全性:负责任 AI 仪表板的错误分析组件使数据科学家和开发人员能够: 深入了解模型的失败分布形式。 识别错误率高于整体基准的数据队列(子集)。 当系统或模型对训练数据中的特定人口群体或不经常观察到的输入条件表现不佳时,可能会出现这些差异。
Python SDK azure-ai-ml v2 (current) Responsible Artificial Intelligence (Responsible AI) is an approach to developing, assessing, and deploying AI systems in a safe, trustworthy, and ethical way. AI systems are the product of many decisions made by those who develop and deploy them. From syst...
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI system