Merge pull request #31202 from MicrosoftDocs/main

[AutoPublish] main to live - 03/24 20:25 PDT | 03/25 08:55 IST

Author: m365-skilling-repo-management[bot]

copilot/microsoft-365-copilot-application-card.md

@@ -15,14 +15,11 @@ ms.collection:
 - must-keep
 hideEdit: true
 ms.update-cycle: 180-days
-ms.date: 02/18/2026
+ms.date: 03/24/2026
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 # Application card: Microsoft 365 Copilot
 
-> [!NOTE]
-> As of February 17, 2026, the information in the Transparency Note for Microsoft 365 Copilot has been moved over to this article and the Transparency Note has been retired.
-
 ## What is an Application or Platform card?
 
 Microsoft’s Application and Platform cards are intended to help you understand how our AI technology works, the choices application owners can make that influence application performance and behavior, and the importance of considering the whole application, including the technology, the people, and the environment. Application cards are created for AI applications and platform cards are created for AI platform services. These resources can support the development or deployment of your own applications and can be shared with users or stakeholders impacted by them.
@@ -156,7 +153,7 @@ Performance and safety evaluations assess whether AI applications are operating
 
 ### Performance and quality evaluations
 
-Performance evaluations for AI applications are essential to help improve  their reliability in real-world applications. Metrics such as response relevance, accuracy, and groundedness help assess the accuracy and consistency of AI-generated outputs, so that they're factually supported in grounded content scenarios, contextually appropriate, and logically structured. For Microsoft 365 Copilot, we regularly conduct rigorous quality evaluations across multiple metrics such as relevance, accuracy, and groundedness.
+Performance evaluations for AI applications are essential to help improve their reliability in real-world applications. Metrics such as response relevance, accuracy, and groundedness help assess the accuracy and consistency of AI-generated outputs, so that they're factually supported in grounded content scenarios, contextually appropriate, and logically structured. For Microsoft 365 Copilot, we regularly conduct rigorous quality evaluations across multiple metrics such as relevance, accuracy, and groundedness.
 
 ### Performance and quality evaluation methods