Responsible AI Principles & Responsible AI Dashboard

Learn how to train and debug AI models responsibly with the Responsible AI Dashboard. This tool offers insights, fairness checks, and transparency features to ensure ethical AI development.

In this module, we explore how to train and debug an AI model using the Responsible AI dashboard within Azure Machine Learning studio. Our focus is on ensuring that the model performs responsibly and minimizes harm. By the end of this session, participants will be able to:

• Create a responsible AI dashboard to monitor model behavior
• Identify errors within the model.
• Detect data biases (overrepresentation or underrepresentation) and mitigate them.
• Understand the driving factors behind model outcomes using explainability and interpretability techniques
• Address compliance regulation requirements effectively.

• Create a responsible AI dashboard to monitor model behavior
• Identify errors within the model.
• Detect data biases (overrepresentation or underrepresentation) and mitigate them.
• Understand the driving factors behind model outcomes using explainability and interpretability techniques
• Address compliance regulation requirements effectively