Content Safety rebrand

ivorb · ivorb · commit d431f971d429 · 2025-05-16T11:00:41.000-04:00
diff --git a/learn-pr/wwl-data-ai/detect-analyze-faces/includes/3-face-analysis-azure.md b/learn-pr/wwl-data-ai/detect-analyze-faces/includes/3-face-analysis-azure.md
@@ -41,7 +41,7 @@ The Limited Access policy requires customers to [submit an intake form](https://
 To use the Face service, you must create one of the following types of resource in your Azure subscription:
 
 - **Face**: Use this specific resource type if you don't intend to use any other Azure AI services, or if you want to track utilization and costs for Face separately.
-- **Azure AI services**: A general resource that includes Azure AI Face along with many other Azure AI services such as Azure AI Content Safety, Azure AI Language, and others. Use this resource type if you plan to use multiple Azure AI services and want to simplify administration and development.
+- **Azure AI services**: A general resource that includes Azure AI Face along with many other Azure AI services such as Azure AI Content Understanding, Azure AI Language, and others. Use this resource type if you plan to use multiple Azure AI services and want to simplify administration and development.
 
 ## Tips for more accurate results
 
diff --git a/learn-pr/wwl-data-ai/fundamentals-azure-ai-services/includes/2-what-are-ai-services.md b/learn-pr/wwl-data-ai/fundamentals-azure-ai-services/includes/2-what-are-ai-services.md
@@ -1,6 +1,6 @@
 Azure AI services are AI capabilities that can be built into web or mobile applications, in a way that's straightforward to implement. These AI services include generative AI, image recognition, natural language processing, speech, AI-powered search, and more. There are over a dozen [different services](/azure/ai-services/what-are-ai-services#available-azure-ai-services?azure-portal=true) that can be used separately or together to add AI power to applications.
 
-Let's take a look at some examples of what can be done with Azure AI services. Azure OpenAI service provides access to powerful, cutting-edge, generative AI models for application development. Azure AI Content Safety service can be used to detect harmful content within text or images, including violent or hateful content, and report on its severity. Azure AI Language service can be used to summarize text, classify information, or extract key phrases. Azure AI Speech service provides powerful speech to text and text to speech capabilities, allowing speech to be accurately transcribed into text, or text to natural sounding voice audio. 
+Let's take a look at some examples of what can be done with Azure AI services. Azure OpenAI service provides access to powerful, cutting-edge, generative AI models for application development. Azure AI Foundry Content Safety service can be used to detect harmful content within text or images, including violent or hateful content, and report on its severity. Azure AI Language service can be used to summarize text, classify information, or extract key phrases. Azure AI Speech service provides powerful speech to text and text to speech capabilities, allowing speech to be accurately transcribed into text, or text to natural sounding voice audio. 
 
 > [!NOTE]
 > You can use multiple Azure AI services with **Azure AI Foundry**, a platform for AI application development. Azure AI Foundry is covered in its own module: [Introduction to Azure AI Foundry](/training/modules/introduction-to-azure-ai-studio/).
diff --git a/learn-pr/wwl-data-ai/fundamentals-azure-ai-services/includes/4-use-azure-ai-service.md b/learn-pr/wwl-data-ai/fundamentals-azure-ai-services/includes/4-use-azure-ai-service.md
@@ -12,10 +12,7 @@ Studio interfaces provide a friendly user interface to explore Azure AI services
 ## Associate the AI service resource
 Before you can use an AI service resource, you must associate it with the studio you want to use on the Settings page. Select the resource, and then select **Use Resource**. You are then ready to explore the Azure AI service within the studio.
 
-![Screenshot of the Content Safety Studio's resource page in settings.](../media/content-safety-resource-example.png)
-
-As an example, let's look at the Azure AI Content Safety service, which identifies harmful text or images. To explore what the Content Safety service does, let's use the Content Safety Studio. First create either a multi-service Azure AI services resource, or a single-service Content Safety resource. Then, on the Content Safety Studio Settings page, select the resource, and select **Use Resource**. The AI service you created is now associated with the Content Safety Studio, and ready to be used.
+As an example, let's look at the Azure AI Foundry Content Safety service, which identifies harmful text or images. To explore what the Content Safety service does, let's use the Content Safety Studio. First create either a multi-service Azure AI services resource, or a single-service Content Safety resource. Then, on the Content Safety Studio Settings page, select the resource, and select **Use Resource**. The AI service you created is now associated with the Content Safety Studio, and ready to be used.
 
 > [!NOTE]
 > When developers incorporate an AI service into their applications, they often use a [SDK](/training/modules/create-manage-cognitive-services/5-use-sdk?azure-portal=true) or the [REST API](/training/modules/create-manage-cognitive-services/4-use-rest?azure-portal=true).
-
diff --git a/learn-pr/wwl-data-ai/fundamentals-azure-ai-services/media/content-safety-resource-example.png b/learn-pr/wwl-data-ai/fundamentals-azure-ai-services/media/content-safety-resource-example.png
diff --git a/learn-pr/wwl-data-ai/plan-prepare-genaiops/includes/5-tools-frameworks.md b/learn-pr/wwl-data-ai/plan-prepare-genaiops/includes/5-tools-frameworks.md
@@ -60,13 +60,13 @@ When you want to quickly explore prompts, you can use the chat playground in the
 
 When you're experimenting with prompts, you want to evaluate how your model performs. **Evaluators** are either built in or custom insights into your model's performance. Whereas evaluators are based on how a given dataset is processed, you can also include **tracing** to gain more insights into how your application is being executed.
 
-If your AI model occasionally provides biased or inappropriate responses, **Azure AI Content Safety** helps you identify and address these issues before they reach end users.
+If your AI model occasionally provides biased or inappropriate responses, **Azure AI Foundry Content Safety** helps you identify and address these issues before they reach end users.
 
 |Tool|Use|
 |---|---|
 |[Evaluators](/azure/ai-studio/how-to/develop/evaluate-sdk?azure-portal=true)|Tools designed to assess the quality and safety of AI outputs, helping you refine the model’s behavior and outputs.|
 |[Tracing](/azure/ai-studio/concepts/trace?azure-portal=true)|This tool helps debug AI models by tracing their actions, allowing you to understand why certain responses are generated.|
-|[Azure AI Content Safety](/azure/ai-services/content-safety/overview?azure-portal=true)|It ensures that AI models generate ethical, unbiased, and safe responses. It detects harmful outputs and helps mitigate risks associated with AI.|
+|[Azure AI Foundry Content Safety](/azure/ai-services/content-safety/overview?azure-portal=true)|It ensures that AI models generate ethical, unbiased, and safe responses. It detects harmful outputs and helps mitigate risks associated with AI.|
 
 ## Deploy your Generative AI app to production
 
diff --git a/learn-pr/wwl-data-ai/prepare-azure-ai-development/includes/3-azure-ai-services.md b/learn-pr/wwl-data-ai/prepare-azure-ai-development/includes/3-azure-ai-services.md
@@ -6,7 +6,7 @@ Microsoft Azure provides a wide range of cloud services that you can use to deve
 | ![Azure AI Vision service icon.](../media/vision.png)<br>**Azure AI Vision**  | The Azure AI Vision service provides a set of models and APIs that you can use to implement common computer vision functionality in an application. With the AI Vision service, you can detect common objects in images, generate captions, descriptions, and tags based on image contents, and read text in images. |
 | ![Azure AI Speech service icon.](../media/speech-service.png)<br>**Azure AI Speech**  | The Azure AI Speech service provides APIs that you can use to implement *text to speech* and *speech to text* transformation, as well as specialized speech-based capabilities like speaker recognition and translation. |
 | ![Azure AI Language service icon.](../media/language.png)<br>**Azure AI Language**  | The Azure AI Language service provides models and APIs that you can use to analyze natural language text and perform tasks such as entity extraction, sentiment analysis, and summarization. The AI Language service also provides functionality to help you build conversational language models and question answering solutions. |
-| ![Azure AI Content Safety service icon.](../media/content-safety.png)<br>**Azure AI Content Safety**  | Azure AI Content Safety provides developers with access to advanced algorithms for processing images and text and flagging content that is potentially offensive, risky, or otherwise undesirable. |
+| ![Azure AI Foundry Content Safety service icon.](../media/content-safety.png)<br>**Azure AI Foundry Content Safety**  | Azure AI Foundry Content Safety provides developers with access to advanced algorithms for processing images and text and flagging content that is potentially offensive, risky, or otherwise undesirable. |
 | ![Azure AI Translator service icon.](../media/translator.png)<br>**Azure AI Translator**  | The Azure AI Translator service uses state-of-the-art language models to translate text between a large number of languages. |
 | ![Azure AI Face service icon.](../media/face.png)<br>**Azure AI Face**  | The Azure AI Face service is a specialist computer vision implementation that can detect, analyze, and recognize human faces. Because of the potential risks associated with personal identification and misuse of this capability, access to some features of the AI Face service are restricted to approved customers. |
 | ![Azure AI Custom Vision service icon.](../media/custom-vision.png)<br>**Azure AI Custom Vision**  | The Azure AI Custom Vision service enables you to train and use custom computer vision models for image classification and object detection. |
@@ -31,7 +31,7 @@ Alternatively, you can provision a multi-service **Azure AI services** resource
 - Azure AI Speech
 - Azure AI Vision
 - Azure AI Language
-- Azure AI Content Safety
+- Azure AI Foundry Content Safety
 - Azure AI Translator
 - Azure AI Document Intelligence
 - Azure AI Content Understanding
diff --git a/learn-pr/wwl-data-ai/responsible-ai-studio/1-introduction.yml b/learn-pr/wwl-data-ai/responsible-ai-studio/1-introduction.yml
@@ -6,7 +6,7 @@ metadata:
   description: Introduce responsible generative AI.
   author: ivorb
   ms.author: berryivor
-  ms.date: 04/16/2025
+  ms.date: 05/16/2025
   ms.topic: unit
   ms.collection:
     - wwl-ai-copilot
diff --git a/learn-pr/wwl-data-ai/responsible-ai-studio/2-plan-responsible-ai.yml b/learn-pr/wwl-data-ai/responsible-ai-studio/2-plan-responsible-ai.yml
@@ -6,7 +6,7 @@ metadata:
   description: Describe a practical process for responsible generative AI development.
   author: ivorb
   ms.author: berryivor
-  ms.date: 04/16/2025
+  ms.date: 05/16/2025
   ms.topic: unit
   ms.collection:
     - wwl-ai-copilot
diff --git a/learn-pr/wwl-data-ai/responsible-ai-studio/3-identify-harms.yml b/learn-pr/wwl-data-ai/responsible-ai-studio/3-identify-harms.yml
@@ -6,7 +6,7 @@ metadata:
   description: Identify, prioritize, validate and document potential harms in a responsible AI solution.
   author: ivorb
   ms.author: berryivor
-  ms.date: 04/16/2025
+  ms.date: 05/16/2025
   ms.topic: unit
   ms.collection:
     - wwl-ai-copilot
diff --git a/learn-pr/wwl-data-ai/responsible-ai-studio/4-measure-harms.yml b/learn-pr/wwl-data-ai/responsible-ai-studio/4-measure-harms.yml
@@ -6,7 +6,7 @@ metadata:
   description: Measure the presence of potential harm in a responsible AI solution.
   author: ivorb
   ms.author: berryivor
-  ms.date: 04/16/2025
+  ms.date: 05/16/2025
   ms.topic: unit
   ms.collection:
     - wwl-ai-copilot
diff --git a/learn-pr/wwl-data-ai/responsible-ai-studio/5-mitigate-harms.yml b/learn-pr/wwl-data-ai/responsible-ai-studio/5-mitigate-harms.yml
@@ -6,7 +6,7 @@ metadata:
   description: Mitigate potential harms at multiple levels of a responsible AI solution.
   author: ivorb
   ms.author: berryivor
-  ms.date: 04/16/2025
+  ms.date: 05/16/2025
   ms.topic: unit
   ms.collection:
     - wwl-ai-copilot
diff --git a/learn-pr/wwl-data-ai/responsible-ai-studio/6-operate-responsibly.yml b/learn-pr/wwl-data-ai/responsible-ai-studio/6-operate-responsibly.yml
@@ -6,7 +6,7 @@ metadata:
   description: Release and operate a generative AI solution responsibly.
   author: ivorb
   ms.author: berryivor
-  ms.date: 04/16/2025
+  ms.date: 05/16/2025
   ms.topic: unit
   ms.collection:
     - wwl-ai-copilot
diff --git a/learn-pr/wwl-data-ai/responsible-ai-studio/7-exercise-content-filters.yml b/learn-pr/wwl-data-ai/responsible-ai-studio/7-exercise-content-filters.yml
@@ -6,7 +6,7 @@ metadata:
   description: Hands-on exercise to explore content filters in Azure AI Foundry Portal.
   author: ivorb
   ms.author: berryivor
-  ms.date: 04/16/2025
+  ms.date: 05/16/2025
   ms.topic: unit
   ms.collection:
     - wwl-ai-copilot
diff --git a/learn-pr/wwl-data-ai/responsible-ai-studio/8-knowledge-check.yml b/learn-pr/wwl-data-ai/responsible-ai-studio/8-knowledge-check.yml
@@ -6,7 +6,7 @@ metadata:
   description: Check your understanding of the content presented in this module.
   author: ivorb
   ms.author: berryivor
-  ms.date: 04/16/2025
+  ms.date: 05/16/2025
   ms.topic: unit
   ms.collection:
     - wwl-ai-copilot
diff --git a/learn-pr/wwl-data-ai/responsible-ai-studio/9-summary.yml b/learn-pr/wwl-data-ai/responsible-ai-studio/9-summary.yml
@@ -6,7 +6,7 @@ metadata:
   description: Summarize a responsible approach for generative AI.
   author: ivorb
   ms.author: berryivor
-  ms.date: 04/16/2025
+  ms.date: 05/16/2025
   ms.topic: unit
   ms.collection:
     - wwl-ai-copilot
diff --git a/learn-pr/wwl-data-ai/responsible-ai-studio/includes/6-operate-responsibly.md b/learn-pr/wwl-data-ai/responsible-ai-studio/includes/6-operate-responsibly.md
@@ -21,13 +21,13 @@ A successful release requires some planning and preparation. Consider the follow
 - Implement a way for users to provide feedback and report issues. In particular, enable users to report generated content as "inaccurate", "incomplete", "harmful", "offensive", or otherwise problematic.
 - Track telemetry data that enables you to determine user satisfaction and identify functional gaps or usability challenges. Telemetry collected should comply with privacy laws and your own organization's policies and commitments to user privacy.
 
-## Utilize Azure AI Content Safety
+## Utilize Azure AI Foundry Content Safety
 
 Several Azure AI resources provide built-in analysis of the content they work with, including Language, Vision, and Azure OpenAI by using content filters.
 
-Azure AI Content Safety provides more features focusing on keeping AI and copilots safe from risk. These features include detecting inappropriate or offensive language, both from input or generated, and detecting risky or inappropriate inputs.
+Azure AI Foundry Content Safety provides more features focusing on keeping AI and copilots safe from risk. These features include detecting inappropriate or offensive language, both from input or generated, and detecting risky or inappropriate inputs.
 
-Features in Azure AI Content Safety include:
+Features in Foundry Content Safety include:
 
 |Feature|Functionality|
 |---|---|
@@ -36,4 +36,4 @@ Features in Azure AI Content Safety include:
 |Protected material detection|Scans for known copyrighted content|
 |Custom categories|Define custom categories for any new or emerging patterns|
 
-Details and quickstarts for using Azure AI Content Safety can be found on the [documentation pages](/azure/ai-services/content-safety/overview) for the service.
+Details and quickstarts for using Foundry Content Safety can be found on the [documentation pages](/azure/ai-services/content-safety/overview) for the service.
diff --git a/learn-pr/wwl-data-ai/responsible-ai-studio/index.yml b/learn-pr/wwl-data-ai/responsible-ai-studio/index.yml
@@ -5,7 +5,7 @@ metadata:
   description: A practical approach to implementing generative AI responsibly, and exploring content filters in AI Foundry portal.
   author: ivorb
   ms.author: berryivor
-  ms.date: 04/16/2025
+  ms.date: 05/16/2025
   ms.service: azure-ai-openai
   ms.topic: module-standard-task-based
   ms.collection:
diff --git a/learn-pr/wwl-data-ai/responsible-content-safety/1-introduction.yml b/learn-pr/wwl-data-ai/responsible-content-safety/1-introduction.yml
@@ -3,10 +3,10 @@ uid: learn.wwl.responsible-ai-content-safety.introduction
 title: Introduction
 metadata:
   title: Introduction
-  description: Introduce responsible use of AI with Azure AI Content Safety.
+  description: Introduce responsible use of AI with Azure AI Foundry Content Safety.
   author: ivorb
   ms.author: berryivor
-  ms.date: 10/17/2024
+  ms.date: 05/16/2025
   ms.topic: unit
   ms.collection:
     - learn.wwl.responsible-ai-content-safety
diff --git a/learn-pr/wwl-data-ai/responsible-content-safety/2-what-is-content-safety.yml b/learn-pr/wwl-data-ai/responsible-content-safety/2-what-is-content-safety.yml
@@ -4,8 +4,8 @@ uid: learn.wwl.responsible-ai-content-safety.what-is-content-safety
 title: What is Content Safety
 metadata:
   title: What is Content Safety
-  description: As both user-generated and AI-generated online content grow, there's a need to automatically detect harmful content. Azure AI Content Safety includes features to detect problem content automatically and at scale.
-  ms.date: 10/17/2024
+  description: As both user-generated and AI-generated online content grow, there's a need to automatically detect harmful content. Azure AI Foundry Content Safety includes features to detect problem content automatically and at scale.
+  ms.date: 05/16/2025
   author: ivorb
   ms.author: berryivor
   ms.topic: unit
diff --git a/learn-pr/wwl-data-ai/responsible-content-safety/3-how-content-safety-works.yml b/learn-pr/wwl-data-ai/responsible-content-safety/3-how-content-safety-works.yml
@@ -1,11 +1,11 @@
 ### YamlMime:ModuleUnit
 uid: learn.wwl.responsible-ai-content-safety.how-content-safety-works
 
-title: How does Azure AI Content Safety work?
+title: How does Azure AI Foundry Content Safety work?
 metadata:
-  title: How does Azure AI Content Safety work?
-  description: Azure AI Content Safety harnesses the power of AI to identify harmful text or image content. 
-  ms.date: 10/17/2024
+  title: How does Azure AI Foundry Content Safety work?
+  description: Azure AI Foundry Content Safety harnesses the power of AI to identify harmful text or image content. 
+  ms.date: 05/16/2025
   author: ivorb
   ms.author: berryivor
   ms.topic: unit
diff --git a/learn-pr/wwl-data-ai/responsible-content-safety/4-when-to-use-content-safety.yml b/learn-pr/wwl-data-ai/responsible-content-safety/4-when-to-use-content-safety.yml
@@ -1,11 +1,11 @@
 ### YamlMime:ModuleUnit
 uid: learn.wwl.responsible-ai-content-safety.when-to-use-content-safety
 
-title: When to use Azure AI Content Safety
+title: When to use Azure AI Foundry Content Safety
 metadata:
-  title: When to use Azure AI Content Safety
+  title: When to use Azure AI Foundry Content Safety
   description: There's a need to moderate harmful language in many online situations, including education, e-commerce, and gaming. 
-  ms.date: 10/17/2024
+  ms.date: 05/16/2025
   author: ivorb
   ms.author: berryivor
   ms.topic: unit
diff --git a/learn-pr/wwl-data-ai/responsible-content-safety/5-exercise-content-safety.yml b/learn-pr/wwl-data-ai/responsible-content-safety/5-exercise-content-safety.yml
@@ -1,10 +1,10 @@
 ### YamlMime:ModuleUnit
 uid: learn.wwl.responsible-ai-content-safety.exercise
-title: Exercise - Implementing Azure AI Content Safety
+title: Exercise - Implementing Azure AI Foundry Content Safety
 metadata:
-  title: Exercise - Implementing Azure AI Content Safety
-  description: Practice generating code to implement a prompt shield solution using Azure AI Content Safety. This exercise includes user prompt and document prompt tests.
-  ms.date: 10/17/2024
+  title: Exercise - Implementing Azure AI Foundry Content Safety
+  description: Practice generating code to implement a prompt shield solution using Azure AI Foundry Content Safety. This exercise includes user prompt and document prompt tests.
+  ms.date: 05/16/2025
   author: ivorb
   ms.author: berryivor
   ms.topic: unit
diff --git a/learn-pr/wwl-data-ai/responsible-content-safety/6-knowledge-check.yml b/learn-pr/wwl-data-ai/responsible-content-safety/6-knowledge-check.yml
diff --git a/learn-pr/wwl-data-ai/responsible-content-safety/7-summary.yml b/learn-pr/wwl-data-ai/responsible-content-safety/7-summary.yml
diff --git a/learn-pr/wwl-data-ai/responsible-content-safety/includes/1-introduction.md b/learn-pr/wwl-data-ai/responsible-content-safety/includes/1-introduction.md
diff --git a/learn-pr/wwl-data-ai/responsible-content-safety/includes/2-what-is-content-safety.md b/learn-pr/wwl-data-ai/responsible-content-safety/includes/2-what-is-content-safety.md
diff --git a/learn-pr/wwl-data-ai/responsible-content-safety/includes/3-how-content-safety-works.md b/learn-pr/wwl-data-ai/responsible-content-safety/includes/3-how-content-safety-works.md
diff --git a/learn-pr/wwl-data-ai/responsible-content-safety/includes/4-when-to-use-content-safety.md b/learn-pr/wwl-data-ai/responsible-content-safety/includes/4-when-to-use-content-safety.md
diff --git a/learn-pr/wwl-data-ai/responsible-content-safety/includes/5-implement-azure-ai-content-safety.md b/learn-pr/wwl-data-ai/responsible-content-safety/includes/5-implement-azure-ai-content-safety.md
diff --git a/learn-pr/wwl-data-ai/responsible-content-safety/includes/6-summary.md b/learn-pr/wwl-data-ai/responsible-content-safety/includes/6-summary.md
diff --git a/learn-pr/wwl-data-ai/responsible-content-safety/index.yml b/learn-pr/wwl-data-ai/responsible-content-safety/index.yml
