Introduction to Responsible AI in Azure Machine Learning
Azure Machine Learning provides tools and capabilities to build and deploy AI models responsibly. This includes managing risks associated with bias, fairness, privacy, and transparency throughout the model lifecycle. We're committed to helping you develop AI solutions that align with ethical guidelines and regulatory requirements.
Key Capabilities
Azure Machine Learning offers a range of features to promote responsible AI:
- Fairness Indicators: Assess and mitigate bias in your models.
- Privacy Checks: Evaluate the privacy implications of your model's data and outputs.
- Explainability: Gain insights into how your models make decisions.
- Model Monitoring: Continuously track model performance and identify potential issues.
Getting Started
To learn more and get started with Responsible AI in Azure Machine Learning, explore the following resources: