rm context url params from foundry docs

Author: PatrickFarley

articles/ai-foundry/concepts/content-filtering.md

@@ -80,5 +80,5 @@ You can also enable the following special output filters:
 
 - Learn more about the [underlying models that power Azure OpenAI](../../ai-services/openai/concepts/models.md).
 - Azure AI Foundry content filtering is powered by [Azure AI Content Safety](../../ai-services/content-safety/overview.md).
-- Learn more about understanding and mitigating risks associated with your application: [Overview of Responsible AI practices for Azure OpenAI models](/azure/ai-foundry/responsible-ai/openai/overview?context=/azure/ai-services/context/context).
+- Learn more about understanding and mitigating risks associated with your application: [Overview of Responsible AI practices for Azure OpenAI models](/azure/ai-foundry/responsible-ai/openai/overview).
 - Learn more about evaluating your generative AI models and AI systems via [Azure AI Evaluation](https://aka.ms/genaiopsevals). 

articles/ai-foundry/faq.yml

@@ -61,7 +61,7 @@ sections:
       - question: |
           Do you use my company data to train any of the models? 
         answer: |
-          Azure OpenAI doesn't use customer data to retrain models. For more information, see the [Azure OpenAI data, privacy, and security guide](/azure/ai-foundry/responsible-ai/openai/data-privacy?context=/azure/ai-services/openai/context/context).    
+          Azure OpenAI doesn't use customer data to retrain models. For more information, see the [Azure OpenAI data, privacy, and security guide](/azure/ai-foundry/responsible-ai/openai/data-privacy).    
   - name: Learning more and where to ask questions
     questions:
       - question: |

articles/ai-foundry/model-inference/concepts/content-filter.md

@@ -24,7 +24,7 @@ Azure AI Foundry Models includes a content filtering system that works alongside
 
 The text content filtering models for the hate, sexual, violence, and self-harm categories were trained and tested on the following languages: English, German, Japanese, Spanish, French, Italian, Portuguese, and Chinese. However, the service can work in many other languages, but the quality might vary. In all cases, you should do your own testing to ensure that it works for your application.
 
-In addition to the content filtering system, Azure OpenAI performs monitoring to detect content and/or behaviors that suggest use of the service in a manner that might violate applicable product terms. For more information about understanding and mitigating risks associated with your application, see the [Transparency Note for Azure OpenAI](/azure/ai-foundry/responsible-ai/openai/transparency-note?tabs=text). For more information about how data is processed for content filtering and abuse monitoring, see [Data, privacy, and security for Azure OpenAI](/azure/ai-foundry/responsible-ai/openai/data-privacy?context=/azure/ai-services/openai/context/context#preventing-abuse-and-harmful-content-generation).  
+In addition to the content filtering system, Azure OpenAI performs monitoring to detect content and/or behaviors that suggest use of the service in a manner that might violate applicable product terms. For more information about understanding and mitigating risks associated with your application, see the [Transparency Note for Azure OpenAI](/azure/ai-foundry/responsible-ai/openai/transparency-note?tabs=text). For more information about how data is processed for content filtering and abuse monitoring, see [Data, privacy, and security for Azure OpenAI](/azure/ai-foundry/responsible-ai/openai/data-privacy#preventing-abuse-and-harmful-content-generation).  
 
 The following sections provide information about the content filtering categories, the filtering severity levels and their configurability, and API scenarios to be considered in application design and implementation. 
 
@@ -309,5 +309,5 @@ The table below outlines the various ways content filtering can appear:
 ## Next steps
 
 - Learn about [Azure AI Content Safety](https://azure.microsoft.com/products/cognitive-services/ai-content-safety).
-- Learn more about understanding and mitigating risks associated with your application: [Overview of Responsible AI practices for Azure OpenAI models](/azure/ai-foundry/responsible-ai/openai/overview?context=/azure/ai-services/openai/context/context).
-- Learn more about how data is processed with content filtering and abuse monitoring: [Data, privacy, and security for Azure OpenAI](/azure/ai-foundry/responsible-ai/openai/data-privacy?context=/azure/ai-services/openai/context/context#preventing-abuse-and-harmful-content-generation).
+- Learn more about understanding and mitigating risks associated with your application: [Overview of Responsible AI practices for Azure OpenAI models](/azure/ai-foundry/responsible-ai/openai/overview).
+- Learn more about how data is processed with content filtering and abuse monitoring: [Data, privacy, and security for Azure OpenAI](/azure/ai-foundry/responsible-ai/openai/data-privacy#preventing-abuse-and-harmful-content-generation).

articles/ai-foundry/model-inference/faq.yml

@@ -119,5 +119,5 @@ sections:
       - question: |
           How do I obtain coverage under the Customer Copyright Commitment? 
         answer:
-          The Customer Copyright Commitment is a provision to be included in the December 1, 2023, Microsoft Product Terms that describes Microsoft’s obligation to defend customers against certain non-Microsoft intellectual property claims relating to Output Content. If the subject of the claim is Output Content generated from Azure OpenAI (or any other Covered Product that allows customers to configure the safety systems), then to receive coverage, customers must have implemented all mitigations required by the Azure OpenAI documentation in the offering that delivered the Output Content. The required mitigations are documented [here](/azure/ai-foundry/responsible-ai/openai/customer-copyright-commitment?context=/azure/ai-services/openai/context/context) and updated on an ongoing basis. For new services, features, models, or use cases, new CCC requirements will be posted and take effect at or following the launch of such service, feature, model, or use case. Otherwise, customers will have six months from the time of publication to implement new mitigations to maintain coverage under the CCC. If a customer tenders a claim, the customer will be required to demonstrate compliance with the relevant requirements. These mitigations are required for Covered Products that allow customers to configure the safety systems, including Azure OpenAI; they don't impact coverage for customers using other Covered Products.
+          The Customer Copyright Commitment is a provision to be included in the December 1, 2023, Microsoft Product Terms that describes Microsoft’s obligation to defend customers against certain non-Microsoft intellectual property claims relating to Output Content. If the subject of the claim is Output Content generated from Azure OpenAI (or any other Covered Product that allows customers to configure the safety systems), then to receive coverage, customers must have implemented all mitigations required by the Azure OpenAI documentation in the offering that delivered the Output Content. The required mitigations are documented [here](/azure/ai-foundry/responsible-ai/openai/customer-copyright-commitment) and updated on an ongoing basis. For new services, features, models, or use cases, new CCC requirements will be posted and take effect at or following the launch of such service, feature, model, or use case. Otherwise, customers will have six months from the time of publication to implement new mitigations to maintain coverage under the CCC. If a customer tenders a claim, the customer will be required to demonstrate compliance with the relevant requirements. These mitigations are required for Covered Products that allow customers to configure the safety systems, including Azure OpenAI; they don't impact coverage for customers using other Covered Products.
 additionalContent: |

articles/ai-foundry/model-inference/includes/configure-content-filters/code.md

@@ -19,4 +19,4 @@ Once content filtering has been applied to your model deployment, requests can b
 
 We recommend informing your content filtering configuration decisions through an iterative identification (for example, red team testing, stress-testing, and analysis) and measurement process to address the potential harms that are relevant for a specific model, application, and deployment scenario. After you implement mitigations such as content filtering, repeat measurement to test effectiveness.
 
-Recommendations and best practices for Responsible AI for Azure OpenAI, grounded in the [Microsoft Responsible AI Standard](https://aka.ms/RAI) can be found in the [Responsible AI Overview for Azure OpenAI](/azure/ai-foundry/responsible-ai/openai/overview?context=/azure/ai-services/openai/context/context).
+Recommendations and best practices for Responsible AI for Azure OpenAI, grounded in the [Microsoft Responsible AI Standard](https://aka.ms/RAI) can be found in the [Responsible AI Overview for Azure OpenAI](/azure/ai-foundry/responsible-ai/openai/overview).

articles/ai-foundry/model-inference/overview.md

@@ -57,7 +57,7 @@ Microsoft helps guard against abuse and unintended harm by taking the following
 - Incorporating Microsoft's [principles for responsible AI use](https://www.microsoft.com/ai/responsible-ai)
 - Adopting a [code of conduct](/legal/ai-code-of-conduct?context=/azure/ai-services/openai/context/context) for use of the service
 - Building [content filters](/azure/ai-services/content-safety/overview) to support customers
-- Providing responsible AI [information and guidance](/azure/ai-foundry/responsible-ai/openai/transparency-note?context=%2Fazure%2Fai-services%2Fopenai%2Fcontext%2Fcontext&tabs=image) that customers should consider when using Azure OpenAI.
+- Providing responsible AI [information and guidance](/azure/ai-foundry/responsible-ai/openai/transparency-note) that customers should consider when using Azure OpenAI.
 
 ## Getting started
 

articles/ai-foundry/responsible-ai/content-understanding/data-privacy.md

@@ -67,4 +67,4 @@ Face is a gated feature as it processes biometric data. We detect faces in the i
 
 ### Azure OpenAI 
 
-Content Understanding also utilizes Azure OpenAI model once each modality input is processed through the underlying AI services. Please refer to the [Azure OpenAI Data, privacy, and security documentation](/azure/ai-foundry/responsible-ai/openai/data-privacy?context=%2Fazure%2Fai-services%2Fopenai%2Fcontext%2Fcontext&tabs=azure-portal) for more information. 
+Content Understanding also utilizes Azure OpenAI model once each modality input is processed through the underlying AI services. Please refer to the [Azure OpenAI Data, privacy, and security documentation](/azure/ai-foundry/responsible-ai/openai/data-privacy) for more information. 

articles/ai-foundry/responsible-ai/content-understanding/transparency-note.md

@@ -319,10 +319,10 @@ When you're getting ready to integrate Content Understanding to your product or
 
 ### Additional transparency notes for underlying services
 
-- [Azure OpenAI](/azure/ai-foundry/responsible-ai/openai/transparency-note?context=%2Fazure%2Fai-services%2Fopenai%2Fcontext%2Fcontext&tabs=text) 
+- [Azure OpenAI](/azure/ai-foundry/responsible-ai/openai/transparency-note) 
 - [Azure AI Document Intelligence](/azure/ai-foundry/responsible-ai/document-intelligence/transparency-note?toc=%2Fazure%2Fai-services%2Fdocument-intelligence%2Ftoc.json&bc=%2Fazure%2Fai-services%2Fdocument-intelligence%2Fbreadcrumb%2Ftoc.json&view=doc-intel-4.0.0&preserve-view=true) 
-- [Azure AI Speech](/azure/ai-foundry/responsible-ai/speech-service/speech-to-text/transparency-note?context=%2Fazure%2Fai-services%2Fspeech-service%2Fcontext%2Fcontext ) 
-- [Azure AI Vision](/azure/ai-foundry/responsible-ai/computer-vision/imageanalysis-transparency-note?context=%2Fazure%2Fai-services%2Fcomputer-vision%2Fcontext%2Fcontext ) 
+- [Azure AI Speech](/azure/ai-foundry/responsible-ai/speech-service/speech-to-text/transparency-note) 
+- [Azure AI Vision](/azure/ai-foundry/responsible-ai/computer-vision/imageanalysis-transparency-note) 
 - [Azure AI Face](/azure/ai-foundry/responsible-ai/face/transparency-note)  
 - [Azure AI Video Indexer](/legal/azure-video-indexer/transparency-note?context=%2Fazure%2Fazure-video-indexer%2Fcontext%2Fcontext ) 
 

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

@@ -28,7 +28,7 @@ This article provides some high level details regarding how Face processes data
 ## What data does Face process, how long is it retained and what protections are in place?
 
 
-Descriptions of Face API processes use the key terms defined [here](/azure/ai-foundry/responsible-ai/face/transparency-note?context=%2Fazure%2Fai-services%2Fcomputer-vision%2Fcontext%2Fcontext#key-terms).
+Descriptions of Face API processes use the key terms defined [here](/azure/ai-foundry/responsible-ai/face/transparency-note#key-terms).
 
 Face maintains GDPR data processor classification across all supported regions. 
 

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

@@ -39,7 +39,7 @@ Certain Face API features, such as facial recognition, generate unique identifyi
 > Face service access is limited based on eligibility and usage criteria in order to support our Responsible AI principles. Face service is only available to Microsoft managed customers and partners. Use the [Face Recognition intake form](https://aka.ms/facerecognition) to apply for access. For more information, see the [Face limited access](/azure/ai-foundry/responsible-ai/computer-vision/limited-access-identity) page.
 
 > [!IMPORTANT]
-> If you are using Microsoft products or services to process Biometric Data, you are responsible for: (i) providing notice to data subjects, including with respect to retention periods and destruction; (ii) obtaining consent from data subjects; and (iii) deleting the Biometric Data, all as appropriate and required under applicable Data Protection Requirements. "Biometric Data" will have the meaning set forth in Article 4 of the GDPR and, if applicable, equivalent terms in other data protection requirements. For related information, see [Data and Privacy for Face](/azure/ai-foundry/responsible-ai/face/data-privacy-security?context=/azure/ai-services/computer-vision).
+> If you are using Microsoft products or services to process Biometric Data, you are responsible for: (i) providing notice to data subjects, including with respect to retention periods and destruction; (ii) obtaining consent from data subjects; and (iii) deleting the Biometric Data, all as appropriate and required under applicable Data Protection Requirements. "Biometric Data" will have the meaning set forth in Article 4 of the GDPR and, if applicable, equivalent terms in other data protection requirements. For related information, see [Data and Privacy for Face](/azure/ai-foundry/responsible-ai/face/data-privacy-security).
 
 
 ### Key terms