RAI depreacate text and image

lgayhardt · lgayhardt · commit a1b67bd190e8 · 2025-07-16T17:06:09.000-07:00
diff --git a/articles/machine-learning/how-to-responsible-ai-image-dashboard.md b/articles/machine-learning/how-to-responsible-ai-image-dashboard.md
@@ -15,6 +15,9 @@ ms.custom: responsible-ml, build-2023
 
 # Use the responsible AI image dashboard (preview)
 
+> [!IMPORTANT]
+> Responsible AI image dashboard is deprecated. Support will end on August 1, 2025. Use the open source [Responsible AI toolkit](https://github.com/microsoft/responsible-ai-toolbox?tab=readme-ov-file) instead.
+
 [Responsible AI (RAI) dashboards](how-to-responsible-ai-dashboard.md) include visualizations and functionality to help you analyze your machine learning model and make data-driven business decisions. The steps to view and configure RAI dashboards are similar across scenarios, but some features are unique to image scenarios. This article describes how to access and configure RAI image dashboard components and functionality.
 
 Responsible AI image dashboards are linked to your registered computer vision models in Azure Machine Learning. The [Responsible AI Vision Insights component](how-to-responsible-ai-vision-insights.md) supports image classification and object detection scenarios.
diff --git a/articles/machine-learning/how-to-responsible-ai-text-dashboard.md b/articles/machine-learning/how-to-responsible-ai-text-dashboard.md
@@ -15,6 +15,9 @@ ms.custom: responsible-ml, build-2023
 
 # Use the responsible AI text dashboard (preview)
 
+> [!IMPORTANT]
+> Responsible AI text dashboard is deprecated. Support will end on August 1, 2025. Use the open source [Responsible AI toolkit](https://github.com/microsoft/responsible-ai-toolbox?tab=readme-ov-file) instead.
+
 The [Responsible AI (RAI) dashboard](concept-responsible-ai-dashboard.md) brings together several RAI tools in a single interface to help inform data-driven decisions about your models. Understanding natural language processing (NLP) models can be different from assessing tabular data. RAI dashboard debugging and visualizations now support text data.
 
 The Responsible AI text dashboard is a customizable, interoperable toolbox where you can select components to perform model assessment and debugging. This article describes how to access and configure RAI text dashboard components and functionality.
diff --git a/articles/machine-learning/how-to-responsible-ai-text-insights.md b/articles/machine-learning/how-to-responsible-ai-text-insights.md
@@ -17,6 +17,9 @@ ms.custom: responsible-ml, build-2023, devx-track-python
 
 [!INCLUDE [dev v2](includes/machine-learning-dev-v2.md)]
 
+> [!IMPORTANT]
+> Responsible AI text dashboard is deprecated. Support will end on August 1, 2025. Use the open source [Responsible AI toolkit](https://github.com/microsoft/responsible-ai-toolbox?tab=readme-ov-file) instead.
+
 The [Responsible AI (RAI) dashboard](concept-responsible-ai-dashboard.md) brings together several RAI tools in a single interface to help inform data-driven decisions about your models. Understanding natural language processing (NLP) models can be different from assessing tabular data. RAI dashboard model debugging and visualizations now support text data.
 
 The Responsible AI text dashboard provides several mature RAI tools in the areas of error analysis, model interpretability, unfairness assessment, and mitigation. The dashboard supports holistic assessment and debugging of NLP models to aid in making informed business decisions.
diff --git a/articles/machine-learning/how-to-responsible-ai-vision-insights.md b/articles/machine-learning/how-to-responsible-ai-vision-insights.md
@@ -17,9 +17,12 @@ ms.custom: responsible-ml, build-2023, devx-track-python
 
 [!INCLUDE [dev v2](includes/machine-learning-dev-v2.md)]
 
+> [!IMPORTANT]
+> Responsible AI image dashboard is deprecated. Support will end on August 1, 2025. Use the open source [Responsible AI toolkit](https://github.com/microsoft/responsible-ai-toolbox?tab=readme-ov-file) instead.
+
 The [Responsible AI (RAI) dashboard](concept-responsible-ai-dashboard.md) brings together several RAI tools in a single interface to help inform data-driven decisions about your models. Understanding computer vision models can be different from assessing tabular or text data. RAI dashboard model debugging and visualizations now support image data.
 
-The Responsible AI text dashboard provides several mature RAI tools in the areas of model performance, data exploration, and model interpretability. The dashboard supports holistic assessment and debugging of computer vision models, leading to informed mitigations for fairness issues and transparency across stakeholders to build trust.
+The Responsible AI image dashboard provides several mature RAI tools in the areas of model performance, data exploration, and model interpretability. The dashboard supports holistic assessment and debugging of computer vision models, leading to informed mitigations for fairness issues and transparency across stakeholders to build trust.
 
 This article describes the Responsible AI vision insights component and how to use it in a pipeline job to generate a Responsible AI image dashboard. The following sections provide specifications and requirements for the vision insights component and example code snippets in YAML and Python. To view the full code, see the [sample YAML and Python notebooks for Responsible AI](https://github.com/Azure/azureml-examples/tree/main/sdk/python/responsible-ai).
 
