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Introducing the Responsible AI dashboard accelerator kit for healthcare

Azure Machine Learning has introduced a new Responsible AI dashboard accelerator kit for healthcare. This dashboard helps to ensure that models are fair, explainable, and free of errors before they are deployed. The dashboard is powered by Azure Machine Learning Interpretability SDK and includes various features to facilitate model interpretability such as accuracy, fairness, and interpretability dashboards.

With explainability, the dashboard allows users to generate explanations for predictions made by the trained models. Moreover, the error analysis dashboard offers a comprehensive view of various model performance metrics such as ROC curves and performance thresholds.

Overall, this responsible AI dashboard accelerator kit offers a holistic solution for evaluating models in healthcare, ensuring ethical AI practices.

Check out the video to know more about this kit.

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