Learn about the new AI economy Our programs We work to empower every person and organization on the planet to achieve more in this AI era—at the speed and scale our world needs. AI impact We govern our products, datacenter infrastructure, and AI assets using responsible practices, to help ...
了解可帮助你构建更安全且可信的生成式 AI 应用程序的新功能。 工具包 负责任的 AI 仪表板 获取一套可帮助你创建自定义的、端到端负责任的 AI 体验的工具。 1 上一张幻灯片 下一张幻灯片 返回到“推进 AI 策略”部分 上一张幻灯片 下一张幻灯片 返回到“使负责任的 AI 成为可能”部分 新...
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 ...
Microsoft also said it grew its responsible AI team from 350 to over 400 people — a 16.6% increase — in the second half of last year. “As a company at the forefront of AI research and technology, we are committed to sharing our practices with the public as they evolve,” Brad ...
Learn what Responsible AI is and how to use it with Azure Machine Learning to understand models, protect data, and control the model lifecycle.
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...
This is why Microsoft develops and deploys technology using Responsible AI practices. Responsible AI intends to keep people and their goals at the center of the design process, and considers the benefits and potentials harms that AI systems can have on society. ...
What is responsible AI?Completed 100 XP 4 minutes To ensure your AI system behaves as expected, you need to evaluate your Generative AI (Gen AI) application. You need to check the effectiveness of the Large Language Model (LLM) solution, identify any biases or ethical concerns, ensu...
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
负责任的 AI 原则可以帮助你了解开发人员在尝试创建道德 AI 解决方案时面临的一些挑战。其他资源若要详细了解如何将负责任的 AI 原则应用到实践中,请参阅 https://www.microsoft.com/ai/responsible-ai-resources。若要查看这些策略执行情况,可以阅读 Microsoft 用于构建负责任的 AI 系统的框架。