use local linking for include

Author: PatrickFarley

articles/ai-foundry/responsible-ai/agents/data-privacy-security.md

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 # Data, privacy, and security for Azure AI Agent Service
 
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 Azure AI Agent Service is a fully managed service designed to empower developers to securely build, deploy, and scale high-quality, and extensible AI agents without needing to manage the underlying compute and storage resources. Azure AI Agent Service integrates **models, tools and technology** and enables you to extend agents with knowledge from connected sources (such as Bing Search, SharePoint, Fabric, Azure Blob storage, and licensed data) and actions using tools such as Azure Logic Apps, Azure Functions, OpenAPI 3.0 specified tools and Code Interpreter
 

articles/ai-foundry/responsible-ai/agents/transparency-note.md

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 # Transparency Note for Azure Agent Service
 
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 ## What is a Transparency Note?
 

articles/ai-foundry/responsible-ai/anomaly-detector/ad-transparency-note.md

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 # Transparency note: Anomaly Detector
 
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 Anomaly Detector is an AI service that enables you to monitor and detect abnormalities in time series data. This article provides transparency information to help you understand how the service works, its capabilities, limitations, and responsible use considerations.
 

articles/ai-foundry/responsible-ai/anomaly-detector/characteristics-and-limitations.md

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 # Characteristics and limitations of Anomaly Detector
 
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 In this section, we'll review what accuracy means for Anomaly Detector and how to assess it for your context.
 

articles/ai-foundry/responsible-ai/anomaly-detector/data-privacy-security.md

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 # Data and privacy for Anomaly Detector
 
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 > [!NOTE]
 > While the information in this article only refers to Anomaly Detector, most of the concepts described apply to both Anomaly Detector and Azure AI Metrics Advisor. Metrics Advisor is built on top of the core technology from Anomaly Detector.

articles/ai-foundry/responsible-ai/anomaly-detector/guidance-integration-responsible-use.md

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 # Guidance for integration and responsible use with Anomaly Detector
 
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 Microsoft works to help customers responsibly develop and deploy solutions that use Anomaly Detector. Our principled approach upholds personal agency and dignity by considering the AI system's fairness, reliability and safety, privacy and security, inclusiveness, transparency, and human accountability. These considerations reflect our commitment to developing responsible AI.
 

articles/ai-foundry/responsible-ai/anomaly-detector/transparency-note.md

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 # Transparency Note for Anomaly Detector
 
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+[!INCLUDE [non-english-translation](../includes/non-english-translation.md)]
 
 ## What is a Transparency Note?
 

articles/ai-foundry/responsible-ai/clu/clu-characteristics-and-limitations.md

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 # Characteristics and limitations for using conversational language understanding
 
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 Performance with conversational language understanding (CLU) varies based on the scenario, input data, and enabled features. The following sections are designed to help the reader understand key concepts about performance as they apply to CLU.
 

articles/ai-foundry/responsible-ai/clu/clu-data-privacy-security.md

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 ---
 # Data and privacy for conversational language understanding
 
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 This article provides high-level information about how data is processed by conversational language understanding (CLU). You're responsible for your use and implementation of this technology, which includes complying with all laws and regulations that apply to you. For example, it's your responsibility to:
 

articles/ai-foundry/responsible-ai/clu/clu-guidance-integration-responsible-use.md

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 # Guidance for integration and responsible use with conversational language understanding
 
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+[!INCLUDE [non-english-translation](../includes/non-english-translation.md)]
 
 Microsoft works to help customers responsibly develop and deploy solutions by using conversational language understanding (CLU). Our principled approach upholds personal agency and dignity by considering the AI system's: