Microsoft outlines six key principles for responsible AI: accountability, inclusiveness, reliability and safety, fairness, transparency, and privacy and security.
Learn what Responsible AI is and how to use it with Azure Machine Learning to understand models, protect data, and control the model lifecycle.
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...
Responsible AI principles guide Microsoft's Transparency Notes on Azure OpenAI, as well as explanations of other products. Transparency Notes are intended to help you understand how Microsoft's AI technology works, the choices system owners can make that influence system performance and behavior, and...
These considerations reflect our commitment to developing responsible AI.General guidelines for integration and responsible use principlesWhen you get ready to integrate and responsibly use AI-powered products or features, the following activities will help to set you up for success:...
First, let’s acknowledge that putting responsible AI principles like transparency and safety into practice in a production application is a major effort. Few companies have the research, policy, and engineering resources to operationalize responsible AI without pre-built tools and controls. That’s ...
Trustworthy AI is only possible when you combine our commitments, such as our Secure Future Initiative and our Responsible AI principles, with our product capabilities to unlock AI transformation with confidence. Get started with Azure AI Agent Service...
此外,AzureApplied AI Services提供符合負責任AI原則(Responsible AI Principles)的可靠服務,來協助企業縮短開發時間;開發人員亦能於邊緣裝置的容器中運行AzureApplied AI Services,並最大限度地減少執行關鍵任務時的可能延遲。 以AI提升商業流程效率!為解決各式營運難題而生的Azure Applied AI Services ...
Domain :Describe AI workloads and considerations Q9 : You created a Personal Virtual Assistant. Select all responsible AI principles that your solution must follow. A.Responsiveness B.Privacy and security C.Dependability D.Inclusiveness E.Answerability ...
GitHub: Using generative AI responsiblyWhy should you prioritize Responsible AI when building a GenAI application? This course on GitHub explores risks (such as generating incorrect information or creating blatantly harmful content) and principles for building AI solutions responsibly. New blog series: ...