Merge pull request #6467 from s-polly/stp_metadata_file-level-changes_8-8

[BULK] Metadata changes for manager field

Author: prmerger-automator[bot]

articles/ai-foundry/concepts/ai-red-teaming-agent.md

@@ -2,7 +2,6 @@
 title: AI Red Teaming Agent
 titleSuffix: Azure AI Foundry
 description: This article provides conceptual overview of the AI Red Teaming Agent.
-manager: scottpolly
 ms.service: azure-ai-foundry
 ms.topic: how-to
 ms.date: 04/04/2025
@@ -37,7 +36,7 @@ When thinking about AI-related safety risks developing trustworthy AI systems, M
 
 :::image type="content" source="../media/evaluations/red-teaming-agent/map-measure-mitigate-ai-red-teaming.png" alt-text="Diagram of how to use AI Red Teaming Agent showing proactive to reactive and less costly to more costly." lightbox="../media/evaluations/red-teaming-agent/map-measure-mitigate-ai-red-teaming.png":::
 
-AI Red Teaming Agent can be used to run automated scans and simulate adversarial probing to help accelerate the identification and evaluation of known risks at scale. This helps teams "shift left" from costly reactive incidents to more proactive testing frameworks that can catch issues before deployment. Manual AI red teaming process is time and resource intensive. It relies on the creativity of safety and security expertise to simulate adversarial probing. This process can create a bottleneck for many organizations to accelerate AI adoption. With the AI Red Teaming Agent, organizations can now leverage Microsoft’s deep expertise to scale and accelerate their AI development with Trustworthy AI at the forefront.
+AI Red Teaming Agent can be used to run automated scans and simulate adversarial probing to help accelerate the identification and evaluation of known risks at scale. This helps teams "shift left" from costly reactive incidents to more proactive testing frameworks that can catch issues before deployment. Manual AI red teaming process is time and resource intensive. It relies on the creativity of safety and security expertise to simulate adversarial probing. This process can create a bottleneck for many organizations to accelerate AI adoption. With the AI Red Teaming Agent, organizations can now leverage Microsoft's deep expertise to scale and accelerate their AI development with Trustworthy AI at the forefront.
 
 We encourage teams to use the AI Red Teaming Agent to run automated scans throughout the design, development, and pre-deployment stage:
 
@@ -105,7 +104,7 @@ Learn more about the tools leveraged by the AI Red Teaming Agent.
 - [Azure AI Risk and Safety Evaluations](./safety-evaluations-transparency-note.md)
 - [PyRIT: Python Risk Identification Tool](https://github.com/Azure/PyRIT)
 
-The most effective strategies for risk assessment we’ve seen leverage automated tools to surface potential risks, which are then analyzed by expert human teams for deeper insights. If your organization is just starting with AI red teaming, we encourage you to explore the resources created by our own AI red team at Microsoft to help you get started.
+The most effective strategies for risk assessment we've seen leverage automated tools to surface potential risks, which are then analyzed by expert human teams for deeper insights. If your organization is just starting with AI red teaming, we encourage you to explore the resources created by our own AI red team at Microsoft to help you get started.
 
 - [Planning red teaming for large language models (LLMs) and their applications](../openai/concepts/red-teaming.md)
 - [Three takeaways from red teaming 100 generative AI products](https://www.microsoft.com/security/blog/2025/01/13/3-takeaways-from-red-teaming-100-generative-ai-products/)

articles/ai-foundry/concepts/ai-resources.md

@@ -4,7 +4,6 @@ titleSuffix: Azure AI Foundry
 description: This article introduces concepts about Azure AI Foundry hubs for your Azure AI Foundry projects.
 ms.author: sgilley
 author: sdgilley
-manager: scottpolly
 ms.reviewer: deeikele
 ms.date: 04/28/2025
 ms.service: azure-ai-foundry

articles/ai-foundry/concepts/architecture.md

@@ -2,7 +2,6 @@
 title: Azure AI Foundry architecture
 titleSuffix: Azure AI Foundry
 description: Learn about the architecture of Azure AI Foundry.
-manager: scottpolly
 ms.service: azure-ai-foundry
 ms.custom:
   - build-2024

articles/ai-foundry/concepts/concept-playgrounds.md

@@ -2,13 +2,13 @@
 title: Azure AI Foundry Playgrounds
 titleSuffix: Azure AI Foundry
 description: Learn to use Azure AI Foundry playgrounds for exploration, experimentation, and iteration with different models.
-manager: scottpolly
 ms.service: azure-ai-foundry
 ms.topic: concept-article
 ms.date: 06/09/2025
 ms.reviewer: mopeakande
 reviewer: msakande
 ms.author: tgokal
+manager: nitinme
 author: tgokal
 ms.custom: build-2025 ai-assisted
 #customer intent: I'm a developer and want to use Azure AI Foundry Playground for quick experimentation and prototyping with models and agents before going to code.

articles/ai-foundry/concepts/concept-synthetic-data.md

@@ -2,13 +2,13 @@
 title: Synthetic data generation in Azure AI Foundry portal
 titleSuffix: Azure AI Foundry
 description: Learn how to generate a synthetic dataset in Azure AI Foundry portal.
-manager: scottpolly
 ms.service: azure-ai-foundry
 ms.topic: how-to
 ms.date: 07/25/2025
 ms.reviewer: vkann
 reviewer: anshirga
 ms.author: ssalgado
+manager: nitinme
 author: ssalgadodev
 ms.custom: references_regions
 ---

articles/ai-foundry/concepts/deployments-overview.md

@@ -2,12 +2,12 @@
 title: Deployment options for Azure AI Foundry Models
 titleSuffix: Azure AI Foundry
 description: Learn about deployment options for Azure AI Foundry Models.
-manager: scottpolly
 ms.service: azure-ai-foundry
 ms.topic: concept-article
 ms.date: 06/30/2025
 ms.reviewer: fasantia
 ms.author: mopeakande
+manager: nitinme
 author: msakande
 ---
 

articles/ai-foundry/concepts/evaluation-evaluators/agent-evaluators.md

@@ -4,7 +4,6 @@ titleSuffix: Azure AI Foundry
 description: Learn how to evaluate Azure AI agents using intent resolution, tool call accuracy, and task adherence evaluators.
 author: lgayhardt
 ms.author: lagayhar
-manager: scottpolly
 ms.reviewer: changliu2
 ms.date: 07/15/2025
 ms.service: azure-ai-foundry

articles/ai-foundry/concepts/evaluation-evaluators/azure-openai-graders.md

@@ -4,7 +4,6 @@ titleSuffix: Azure AI Foundry
 description: Learn about Azure OpenAI Graders for evaluating AI model outputs, including label grading, string checking, text similarity, and custom grading.
 author: lgayhardt
 ms.author: lagayhar
-manager: scottpolly
 ms.reviewer: mithigpe
 ms.date: 07/16/2025
 ms.service: azure-ai-foundry

articles/ai-foundry/concepts/evaluation-evaluators/custom-evaluators.md

@@ -4,7 +4,6 @@ titleSuffix: Azure AI Foundry
 description: Learn how to create custom evaluators for your AI applications using code-based or prompt-based approaches.
 author: lgayhardt
 ms.author: lagayhar
-manager: scottpolly
 ms.reviewer: mithigpe
 ms.date: 07/31/2025
 ms.service: azure-ai-foundry

articles/ai-foundry/concepts/evaluation-evaluators/general-purpose-evaluators.md

@@ -4,7 +4,6 @@ titleSuffix: Azure AI Foundry
 description: Learn about general-purpose evaluators for generative AI, including coherence, fluency, and question-answering composite evaluation.
 author: lgayhardt
 ms.author: lagayhar
-manager: scottpolly
 ms.reviewer: changliu2
 ms.date: 07/16/2025
 ms.service: azure-ai-foundry