disable content filtering

Author: laujan

articles/ai-services/content-understanding/overview.md

@@ -73,37 +73,18 @@ See [Quickstart](quickstart/use-ai-foundry.md) for more examples.
 
 
 ## Responsible AI
+
  Azure AI Content Understanding is designed to guard against processing harmful content, such as graphic violence and gore, hateful speech and bullying, exploitation, abuse, and more. For more information and a full list of prohibited content, *see* our [**Transparency note**](/legal/cognitive-services/content-understanding/transparency-note?toc=/azure/ai-services/content-understanding/toc.json&bc=/azure/ai-services/content-understanding/breadcrumb/toc.json) and our [**Code of Conduct**](https://aka.ms/AI-CoC).
 
 ### Modified Content Filtering
 
-Azure AI Content Understanding now supports disabling content filtering for approved customers. The subscription IDs with approved modified content filtering impacts the Azure AI Content Understanding output.
+Azure AI Content Understanding now supports disabling content filtering for approved customers. The subscription IDs with approved modified content filtering impacts the Azure AI Content Understanding output. By default, Content Understanding employs a content filtering system that identifies specific risk categories for potentially harmful content in both submitted prompts and generated outputs. If content is flagged with a high severity level, indicating a significant potential for harm, the output is blocked. For more information on risk categories, *see* [Content filtering](../openai/concepts/content-filter.md#risk-categories).
 
 > [!IMPORTANT]
 >
 > * Apply for modified content filters via this form: [Azure OpenAI Limited Access Review: Modified Content Filters](https://ncv.microsoft.com/uEfCgnITdR).
 > * For more information, *see* [**Content Filtering**](../openai/concepts/content-filter.md).
 
-By default, Content Understanding employs a content filtering system that identifies specific risk categories for potentially harmful content in both submitted prompts and generated outputs. If content is flagged with a high severity level, indicating a significant potential for harm, the output is blocked. For more information on risk categories, *see* [Content filtering](../openai/concepts/content-filter.md#risk-categories).
-
-To disable content filtering, follow these steps:
-
-* Complete the [Azure OpenAI Limited Access Review:  Modified Content Filtering](https://customervoice.microsoft.com/Pages/ResponsePage.aspx?id=v4j5cvGGr0GRqy180BHbR7en2Ais5pxKtso_Pz4b1_xUMlBQNkZMR0lFRldORTdVQzQ0TEI5Q1ExOSQlQCN0PWcu) for your subscription.
-
-* Once approved, create or update your Content Understanding analyzer to include the property `"disableContentFiltering": true`as follows:
-
-```bash
-  {
-    "config": {
-        "enableFace": true,
-        "returnDetails": true,
-        "disableContentFiltering": true
-  }
-```
-
-
-
-
 ## Data privacy and security
 Developers using the Content Understanding service should review Microsoft's policies on customer data. For more information, visit our [**Data, protection and privacy**](https://www.microsoft.com/trust-center/privacy) page.
 

articles/ai-services/content-understanding/quickstart/use-rest-api.md

@@ -22,7 +22,7 @@ ms.date: 11/19/2024
 
 ## Prerequisites
 
-To get started, you need **An active Azure subscription**. If you don't have an Azure account, you can [create a free subscription](https://azure.microsoft.com/free/). 
+To get started, you need **An active Azure subscription**. If you don't have an Azure account, you can [create a free subscription](https://azure.microsoft.com/free/).
 
 * Once you have your Azure subscription, create an [Azure AI Services resource](https://portal.azure.com/#create/Microsoft.CognitiveServicesAIServices) in the Azure portal. This multi-service resource enables access to multiple Azure AI services with a single set of credentials.
 
@@ -83,6 +83,35 @@ First, create a JSON file named `request_body.json` with the following content:
 }
 ```
 
+### Content filtering
+
+* Azure AI Content Understanding allows approved customers to disable content filtering.
+
+* To request modified content filtering, complete the following form: [Azure OpenAI Limited Access Review: Modified Content Filters](https://ncv.microsoft.com/uEfCgnITdR).
+
+* Once approved, create or update your `request_body.json` file to include the `"disableContentFiltering": true` property:
+
+   ```json
+   {
+     "description": "Sample invoice analyzer",
+     "scenario": "document",
+     "config": {
+
+       "disableContentFiltering": true,
+
+       "enableFace": true,
+       "returnDetails": true,
+       },
+       "fieldSchema": {
+   ...
+       }
+   }
+
+   ```
+
+For more information, *see* [**Content Filtering**](../../openai/concepts/content-filter.md).
+
+
 # [Image](#tab/image)
 
 To create a custom analyzer, you need to define a field schema that describes the structured data you want to extract. In the following example, we define a schema for identifying detects in images of metal plates.
@@ -107,6 +136,33 @@ First, create a JSON file named `request_body.json` with the following content:
 }
 ```
 
+### Content filtering
+
+* Azure AI Content Understanding allows approved customers to disable content filtering.
+
+* To request modified content filtering, complete the following form: [Azure OpenAI Limited Access Review: Modified Content Filters](https://ncv.microsoft.com/uEfCgnITdR).
+
+* Once approved, create or update your `request_body.json` file to include the `"disableContentFiltering": true` property:
+
+   ```json
+   {
+     "description": "Sample chart analyzer",
+     "scenario": "image",
+     "config": {
+
+       "disableContentFiltering": true,
+
+       "returnDetails": true,
+       },
+       "fieldSchema": {
+   ...
+       }
+   }
+
+   ```
+
+For more information, *see* [**Content Filtering**](../../openai/concepts/content-filter.md).
+
 # [Audio](#tab/audio)
 
 To create a custom analyzer, you need to define a field schema that describes the structured data you want to extract. In the following example, we define a schema for extracting basic information from call transcripts.
@@ -147,6 +203,34 @@ First, create a JSON file named `request_body.json` with the following content:
 }
 ```
 
+### Content filtering
+
+* Azure AI Content Understanding allows approved customers to disable content filtering.
+
+* To request modified content filtering, complete the following form: [Azure OpenAI Limited Access Review: Modified Content Filters](https://ncv.microsoft.com/uEfCgnITdR).
+
+* Once approved, create or update your `request_body.json` file to include the `"disableContentFiltering": true` property:
+
+   ```json
+   {
+     "description": "Sample call transcript analyzer",
+     "scenario": "callCenter",
+     "config": {
+
+       "disableContentFiltering": true,
+
+       "returnDetails": true,
+       "locales": ["en-US"]
+       },
+       "fieldSchema": {
+   ...
+       }
+   }
+
+   ```
+
+For more information, *see* [**Content Filtering**](../../openai/concepts/content-filter.md).
+
 # [Video](#tab/video)
 
 To create a custom analyzer, you need to define a field schema that describes the structured data you want to extract. In the following example, we define a schema for extracting basic information from marketing videos.
@@ -171,6 +255,31 @@ First, create a JSON file named `request_body.json` with the following content:
   }
 }
 ```
+### Content filtering
+
+* Azure AI Content Understanding allows approved customers to disable content filtering.
+
+* To request modified content filtering, complete the following form: [Azure OpenAI Limited Access Review: Modified Content Filters](https://ncv.microsoft.com/uEfCgnITdR).
+
+* Once approved, create or update your `request_body.json` file to include the `"disableContentFiltering": true` property:
+
+   ```json
+   {
+     "description": "Sample marketing video analyzer",
+     "scenario": "videoShot",
+     "config": {
+
+       "disableContentFiltering": true,
+
+       },
+       "fieldSchema": {
+   ...
+       }
+   }
+
+   ```
+
+For more information, *see* [**Content Filtering**](../../openai/concepts/content-filter.md).
 
 ---
 
@@ -540,8 +649,8 @@ The 200 (`OK`) JSON response includes a `status` field indicating the status of
 
 ---
 
-## Next steps 
+## Next steps
 
-* In this quickstart, you learned how to call the [REST API](/rest/api/contentunderstanding/operation-groups?view=rest-contentunderstanding-2024-12-01-preview&preserve-view=true) to create a custom analyzer. For a user experience, try [**Azure AI Foundry portal**](https://ai.azure.com/). 
+* In this quickstart, you learned how to call the [REST API](/rest/api/contentunderstanding/operation-groups?view=rest-contentunderstanding-2024-12-01-preview&preserve-view=true) to create a custom analyzer. For a user experience, try [**Azure AI Foundry portal**](https://ai.azure.com/).
 
 

articles/ai-services/content-understanding/toc.yml

@@ -5,7 +5,7 @@ items:
   expanded: true
   items:
   - name: What is Azure AI Content Understanding?
-    displayName: document, text, images, video, audio, multimodal, visual, structured, content, field, extraction
+    displayName: document, text, images, video, audio, multimodal, visual, structured, content, field, extraction, content filtering, filter
     href: overview.md
   - name: Create an Azure AI Services resource
     displayName: extract, text, images, OCR, optical character recognition
@@ -29,7 +29,7 @@ items:
 - name: Quickstarts
   items:
   - name: Content Understanding REST API
-    displayName: quickstart, extract, text, images, OCR, optical character recognition
+    displayName: quickstart, extract, text, images, OCR, optical character recognition, content filtering, filter
     href: quickstart/use-rest-api.md
   - name: Content Understanding Azure AI Foundry portal
     displayName: quickstart, extract, text, images, OCR, optical character recognition