fixes

Author: lgayhardt

articles/machine-learning/.openpublishing.redirection.machine-learning.json

@@ -3527,17 +3527,17 @@
     },
     {
         "source_path_from_root": "/articles/machine-learning/concept-responsible-ml.md",
-        "redirect_url": "/azure/machine-learning/batch-inference/concept-responsible-ai",
+        "redirect_url": "/azure/machine-learning/concept-responsible-ai",
         "redirect_document_id": true
     },
     {
         "source_path_from_root": "/articles/machine-learning/how-to-responsible-ai-dashboard-ui.md",
-        "redirect_url": "/azure/machine-learning/batch-inference/how-to-responsible-ai-insights-ui",
+        "redirect_url": "/azure/machine-learning/how-to-responsible-ai-insights-ui",
         "redirect_document_id": true
     },
     {
         "source_path_from_root": "/articles/machine-learning/how-to-responsible-ai-dashboard-sdk-cli.md",
-        "redirect_url": "/azure/machine-learning/batch-inference/how-to-responsible-ai-insights-sdk-cli",
+        "redirect_url": "/azure/machine-learning/how-to-responsible-ai-insights-sdk-cli",
         "redirect_document_id": true
     },
 ]

articles/machine-learning/concept-data-analysis.md

@@ -32,6 +32,6 @@ Use the data explorer when you need to:
 
 ## Next steps
 
-- Learn how to generate the Responsible AI dashboard via [CLI and SDK](how-to-responsible-ai-dashboard-sdk-cli.md) or [Azure Machine Learning studio UI](how-to-responsible-ai-dashboard-ui.md).
-- Explore the [supported data explorer visualizations](how-to-responsible-ai-dashboard.md#data-explorer) of the Responsible AI dashboard.
+- Learn how to generate the Responsible AI dashboard via [CLI and SDK](how-to-responsible-ai-insights-sdk-cli.md) or [Azure Machine Learning studio UI](how-to-responsible-ai-insights-ui.md).
+- Explore the [supported data explorer visualizations](how-to-responsible-ai-dashboard.md#data-analysis) of the Responsible AI dashboard.
 - Learn how to generate a [Responsible AI scorecard](how-to-responsible-ai-scorecard.md) based on the insights observed in the Responsible AI dashboard.

articles/machine-learning/concept-fairness-ml.md

@@ -91,6 +91,6 @@ The Fairlearn open-source package provides two types of unfairness mitigation al
 ## Next steps
 
 - Learn how to generate the Responsible AI dashboard via [CLI and SDK](how-to-responsible-ai-dashboard-sdk-cli.md) or [Azure Machine Learning studio UI](how-to-responsible-ai-dashboard-ui.md).
-- Explore the [supported model overview and fairness assessment visualizations](how-to-responsible-ai-dashboard.md#model-overview) of the Responsible AI dashboard.
+- Explore the [supported model overview and fairness assessment visualizations](how-to-responsible-ai-dashboard.md#model-overview-and-fairness-metrics) of the Responsible AI dashboard.
 - Learn how to generate a [Responsible AI scorecard](how-to-responsible-ai-scorecard.md) based on the insights observed in the Responsible AI dashboard.
 - Learn how to use the components by checking out Fairlearn's [GitHub repository](https://github.com/fairlearn/fairlearn/), [user guide](https://fairlearn.github.io/main/user_guide/index.html), [examples](https://fairlearn.github.io/main/auto_examples/index.html), and [sample notebooks](https://github.com/fairlearn/fairlearn/tree/master/notebooks).

articles/machine-learning/concept-responsible-ai-scorecard.md

@@ -5,7 +5,7 @@ description: Learn about how to use the Responsible AI scorecard to share respon
 services: machine-learning
 ms.service: machine-learning
 ms.subservice: enterprise-readiness
-ms.topic:  concept
+ms.topic:  conceptual
 ms.author: mesameki
 author: mesameki
 ms.reviewer: lagayhar

articles/machine-learning/how-to-responsible-ai-dashboard.md

@@ -74,7 +74,7 @@ The Responsible AI dashboard includes a robust, rich set of visualizations and f
 
 - [Global controls](#global-controls)
 - [Error analysis](#error-analysis)
-- [Model overview and fairness metrics](#model-overview)
+- [Model overview and fairness metrics](#model-overview-and-fairness-metrics)
 - [Data analysis](#data-analysis)
 - [Feature importance (model explanations)](#feature-importances-model-explanations)
 - [Counterfactual what-if](#counterfactual-what-if)

articles/machine-learning/how-to-responsible-ai-insights-ui.md

@@ -115,7 +115,7 @@ Component parameters for real-life interventions use causal analysis. Do the fol
 
 Finally, configure your experiment to kick off a job to generate your Responsible AI dashboard.
 
-:::image type="content" source="./media/how-to-responsible-ai-insights-ui/create-responsible-ai-dashboard-ui-experiment-config.png" alt-text="Screenshot of the Experiment configuration tab, showing the 'Training job or experiment configuration' pane." lightbox= "./media/create-responsible-ai-dashboard-ui-experiment-config.png":::
+:::image type="content" source="./media/how-to-responsible-ai-insights-ui/create-responsible-ai-dashboard-ui-experiment-config.png" alt-text="Screenshot of the Experiment configuration tab, showing the 'Training job or experiment configuration' pane." lightbox= "./media/how-to-responsible-ai-insights-ui/create-responsible-ai-dashboard-ui-experiment-config.png":::
 
 On the **Training job** or **Experiment configuration** pane, do the following: