update links for new coc

Author: PatrickFarley

articles/ai-services/openai/concepts/abuse-monitoring.md

@@ -13,13 +13,13 @@ manager: nitinme
 
 # Abuse Monitoring
 
-Azure OpenAI Service detects and mitigates instances of recurring content and/or behaviors that suggest use of the service in a manner that might violate the [Code of Conduct](/legal/cognitive-services/openai/code-of-conduct?context=/azure/ai-services/openai/context/context). Details on how data is handled can be found on the [Data, Privacy, and Security](/legal/cognitive-services/openai/data-privacy?context=/azure/ai-services/openai/context/context) page.
+Azure OpenAI Service detects and mitigates instances of recurring content and/or behaviors that suggest use of the service in a manner that might violate the [Code of Conduct](/legal/ai-code-of-conduct?context=/azure/ai-services/openai/context/context). Details on how data is handled can be found on the [Data, Privacy, and Security](/legal/cognitive-services/openai/data-privacy?context=/azure/ai-services/openai/context/context) page.
 
 ## Components of abuse monitoring
 
 There are several components to abuse monitoring:
 
-- **Content Classification**: Classifier models detect harmful text and/or images in user prompts (inputs) and completions (outputs). The system looks for categories of harms as defined in the [Content Requirements](/legal/cognitive-services/openai/code-of-conduct?context=/azure/ai-services/openai/context/context), and assigns severity levels as described in more detail on the [Content Filtering](/azure/ai-services/openai/concepts/content-filter) page. The content classification signals contribute to pattern detection as described below.  
+- **Content Classification**: Classifier models detect harmful text and/or images in user prompts (inputs) and completions (outputs). The system looks for categories of harms as defined in the [Content Requirements](/legal/ai-code-of-conduct?context=/azure/ai-services/openai/context/context), and assigns severity levels as described in more detail on the [Content Filtering](/azure/ai-services/openai/concepts/content-filter) page. The content classification signals contribute to pattern detection as described below.  
 - **Abuse Pattern Capture**: Azure OpenAI Service’s abuse monitoring system looks at customer usage patterns and employs algorithms and heuristics to detect and score indicators of potential abuse. Detected patterns consider, for example, the frequency and severity at which harmful content is detected (as indicated in content classifier signals) in a customer’s prompts and completions, as well as the intentionality of the behavior. The trends and urgency of the detected pattern will also affect scoring of potential abuse severity.
     For example, a higher volume of harmful content classified as higher severity, or recurring conduct indicating intentionality (such as recurring jailbreak attempts) are both more likely to receive a high score indicating potential abuse. 
 - **Review and Decision**: Prompts and completions that are flagged through content classification and/or identified as part of a potentially abusive pattern of use are subjected to another review process to help confirm the system’s analysis and inform actioning decisions for abuse monitoring. Such review is conducted through two methods: automated review and human review.

articles/ai-services/openai/includes/content-filter-configurability.md

@@ -30,4 +30,4 @@ Configurable content filters for inputs (prompts) and outputs (completions) are
 
 Content filtering configurations are created within a Resource in Azure AI Foundry portal, and can be associated with Deployments. [Learn more about configurability here](../how-to/content-filters.md).  
 
-Customers are responsible for ensuring that applications integrating Azure OpenAI comply with the [Code of Conduct](/legal/cognitive-services/openai/code-of-conduct?context=%2Fazure%2Fai-services%2Fopenai%2Fcontext%2Fcontext). 
+Customers are responsible for ensuring that applications integrating Azure OpenAI comply with the [Code of Conduct](/legal/ai-code-of-conduct?context=%2Fazure%2Fai-services%2Fopenai%2Fcontext%2Fcontext). 

articles/ai-services/openai/index.yml

@@ -133,7 +133,7 @@ landingContent:
         - text: Limited access
           url: /legal/cognitive-services/openai/limited-access?context=/azure/ai-services/openai/context/context
         - text: Code of conduct
-          url: /legal/cognitive-services/openai/code-of-conduct?context=/azure/ai-services/openai/context/context
+          url: /legal/ai-code-of-conduct?context=/azure/ai-services/openai/context/context
         - text: Data, privacy, and security
           url: /legal/cognitive-services/openai/data-privacy?context=/azure/ai-services/openai/context/context
         - text: Customer Copyright Commitment

articles/ai-services/openai/overview.md

@@ -31,7 +31,7 @@ Azure OpenAI Service provides REST API access to OpenAI's powerful language mode
 
 ## Responsible AI
 
-At Microsoft, we're committed to the advancement of AI driven by principles that put people first. Generative models such as the ones available in Azure OpenAI have significant potential benefits, but without careful design and thoughtful mitigations, such models have the potential to generate incorrect or even harmful content. Microsoft has made significant investments to help guard against abuse and unintended harm, which includes incorporating Microsoft’s <a href="https://www.microsoft.com/ai/responsible-ai?activetab=pivot1:primaryr6" target="_blank">principles for responsible AI use</a>, adopting a [Code of Conduct](/legal/cognitive-services/openai/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, and providing responsible AI [information and guidance](/legal/cognitive-services/openai/transparency-note?context=%2Fazure%2Fai-services%2Fopenai%2Fcontext%2Fcontext&tabs=image) that customers should consider when using Azure OpenAI.
+At Microsoft, we're committed to the advancement of AI driven by principles that put people first. Generative models such as the ones available in Azure OpenAI have significant potential benefits, but without careful design and thoughtful mitigations, such models have the potential to generate incorrect or even harmful content. Microsoft has made significant investments to help guard against abuse and unintended harm, which includes incorporating Microsoft’s <a href="https://www.microsoft.com/ai/responsible-ai?activetab=pivot1:primaryr6" target="_blank">principles for responsible AI use</a>, 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, and providing responsible AI [information and guidance](/legal/cognitive-services/openai/transparency-note?context=%2Fazure%2Fai-services%2Fopenai%2Fcontext%2Fcontext&tabs=image) that customers should consider when using Azure OpenAI.
 
 ## Get started with Azure OpenAI Service
 

articles/ai-services/openai/toc.yml

@@ -270,7 +270,7 @@ items:
     - name: Limited access
       href: /legal/cognitive-services/openai/limited-access?context=/azure/ai-services/openai/context/context
     - name: Code of conduct
-      href: /legal/cognitive-services/openai/code-of-conduct?context=/azure/ai-services/openai/context/context
+      href: /legal/ai-code-of-conduct?context=/azure/ai-services/openai/context/context
     - name: Data, privacy, and security
       href: /legal/cognitive-services/openai/data-privacy?context=/azure/ai-services/openai/context/context
     - name: Customer Copyright Commitment