Trusted AI framework Next steps Microsoft outlines six key principles for responsible AI: accountability, inclusiveness, reliability and safety, fairness, transparency, and privacy and security. These principles are essential to creating responsible and trustworthy AI as it moves into mainstream products an...
We've taken a thoughtful, cross-discipline approach to this work, consulting experts within and beyond Microsoft to ensure we are being deliberately inclusive and forward-thinking. We believe our Responsible AI Standard is a durable framework for the maturing practice of responsible AI and evolving ...
Familiarize yourself with Microsoft's Responsible AI framework and make sure the principles are reflected and measured in your design. This image shows the core concepts of the framework.Mikilvægt Accuracy of prediction and Responsible AI metrics are often interconnected. Improving a model's ...
Microsoft developed aResponsible AI Standard. It's a framework for building AI systems according to six principles: fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability. For Microsoft, these principles are the cornerstone of a responsible and trustworthy...
Microsoft 负责任的 AI 的六项关键原则包括公平性、可靠性和安全性、隐私和保障、包容性、透明度和问责制。 使用这些原则来创建负责任且值得信赖的 AI,并在整个 AI 采用过程中将其集成到主流产品和服务中。 负责任的 AI 原则 Microsoft 致力于支持负责任的 AI 做法。
Next Wednesday, 29th November, join us online to begin your journey into the world of Responsible AI! During this session we aim to unravel the challenges of our Microsoft partners, explore Microsoft’s Responsible AI principles, delve into available tools and approaches, and add...
At Microsoft, we’ve been working to build a responsible AI infrastructure since 2017. This has moved in tandem with similar work in the cybersecurity, privacy and digital safety spaces. It is connected to a larger enterprise risk management framework that has helped us to create the principles...
∎ SHIPI DHANORKAR ∎ ZOE KAHN ∎ RUOTONG WANG AETHER CENTRAL UX RESEARCH & EDUCATION ∎ MICROSOFT V1 ∎ MAY 17, 2023 Executive summary The Responsible AI Maturity Model (RAI MM) is a framework to help organiza�ons iden�fy their current and desired levels of RAI maturity. ...
Chair: Beibei Shi,Microsoft Research Asia 9:15–9:45Research Talk: Towards Human Value Based NLP |video(opens in new tab)|slides(opens in new tab) Pascale Fung(opens in new tab),Hong Kong University of Science & Technology Abstract: The AI “arms race” has reached a point where differe...
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