Learn how to debug an AI model using the Responsible AI dashboard in Azure Machine Learning studio to ensure it performs responsibly and is less harmful. Create a responsible AI dashboard. Identify where the model has errors. Discover data over or under representation to mitigate biases. Understand what drives a model outcome with explainable and interpretability. Mitigate issues to meet compliance regulation requirements.

Learning objectives - Create a responsible AI dashboard. - Identify where the model has errors. - Discover data over or under representation to mitigate biases. - Understand what drives a model outcome with explainable and interpretability. - Mitigate issues to meet compliance regulation requirements.

Presenters: Nitya Narasimhan \|\| Senior Cloud Advocate - Microsoft - LinkedIn: https://www.linkedin.com/in/nityan/ Ruth Yakubu \|\| Cloud Advocate - Microsoft - Twitter: https://twitter.com/ruthieyakubu - LinkedIn: https://www.linkedin.com/in/ruthyakubu/

Moderators: Cynthia Zanoni \|\| Cloud Advocate - Microsoft - LinkedIn: https://www.linkedin.com/in/cynthiazanoni/

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